CARL SALVAGGIO Associate Professor Rochester Institute of Technology College of Science Chester F. Carlson Center for Imaging Science 54 Lomb Memorial Drive Rochester, NY 14623 Phone: 585.475.6380 (office) Mobile: 585.509.1237 FAX: 585.475.5988 E-mail: salvaggio@cis.rit.edu Web: http://www.cis.rit.edu/~cnspci/

My current research interests include modeling of physical phenomenology for synthetic image generation, development of novel ground truth collection devices and techniques, field and laboratory longwave infrared data collection, temperature-emissivity separation techniques, temperature extraction algorithms for multi- and hyperspectral image data, as well as algorithms for the detection, identification and quantification of gaseous effluents. I also have research interests in radiation propagation models, atmospheric correction techniques, multi-sensor data merging, spectral/feature band optimization methods, image integration with geographic information systems, and sensor geometry and mensuration models.

PROFESSIONAL SOCIETY AFFILIATIONS

The International Society for Optical Engineering - SPIE
Society for Imaging Science and Technology - IS&T
Institute of Electrical and Electronic Engineers - IEEE
American Society of Photogrammetry and Remote Sensing - ASPRS
American Association for the Advancement of Science - AAAS
International Association of Science and Technology for Development - IASTED

CAREER

2002-present

Rochester Institute of Technology
Associate Professor

1997-2005

Imagery Solutions, Incorporated
President

1996-2000

MRJ Technology Solutions
Principal Engineer

1994-1996

Hughes Aircraft Company
Scientist/Engineer

1986-1994

Rochester Institute of Technology
Research Scientist/Instructor

1983-1985

Central Intelligence Agency
Photographic Engineer

EDUCATION

Ph.D., Environmental Resource Engineering

State University of New York
College of Environmental Science and Forestry
1994

M.S., Imaging Science

Rochester Institute of Technology
Chester F. Carlson Center for Imaging Science
1987

B.S., Imaging Science

Rochester Institute of Technology
Chester F. Carlson Center for Imaging Science
1987

RESEARCH

RESEARCH INTERESTS

• modeling of physical phenomenology for synthetic image generation
• development of novel ground truth collection devices and techniques
• field and laboratory longwave infrared data collection
• temperature-emissivity separation techniques
• temperature extraction algorithms for multi- and hyperspectral image data
• algorithm development for the detection, identification and quantification of gaseous effluents
• radiation propagation models
• atmospheric correction techniques
• multi-sensor data merging
• spectral/feature band optimization methods
• three-dimensional geometry extraction from multi-view imagery and integration with image simulation and geographic information systems



Current active funding:	$2,446,700 (4 projects)
Cumulative funding to date:	$4,186,202 (16 projects)

CURRENT-FUNDED RESEARCH CONTRACTS/GRANTS/GIFTS

Department of Energy

Enhanced Image Rendering Engine for DIRSIG


RIT will provide directed development support and interface definition to allow the DIRSIG environment to serve as an image-rendering engine for the three-dimensional physics-based modeling being carried out by the DOE. As DIRSIG is already a first-principles physics-based environment for optical interactions at the target surface, propagation through the atmosphere, interactions with the mechanics of the sensing platform, and sensor response and artifact modeling for most available types of imaging systems in use today, the further opening of this environment to allow input from the DOE modeling community with respect to phenomenological scenarios involving nuclear nonproliferation would allow a full, end-to-end system for which the imaging product produced can serve as data for a variety of purposes such as algorithm development and testing, system design trade-off studies, and scenario-driven modality selection. Given current DIRSIG capabilities to model passive systems such as spectral and hyperspectral devices, thermal infrared sensors as well as active systems such as LIDAR and RADAR, and the physical process modeling available from current DOE researchers, this integration would enable very comprehensive system trade studies and future sensor system simulations directed at the complex nonproliferation problem. As part of this effort, RIT will:
1. Enhance the current capabilities of DIRSIG for the prediction of target surface temperatures by incorporating the MuSES infrared signature prediction model. MuSES will allow DIRSIG to model active targets in a complex meteorological environment with far greater fidelity than is currently possible. The interface of this model will be accomplished in such a way that other current or future temperature prediction codes may be easily used in its place.
2. Improve the current automated vehicular traffic capabilities in DIRSIG by allowing for anomalous movements to occur such as unusual stops or off-road movements. RIT sees this as advantageous for a dynamic persistent surveillance scenario.
3. Develop a simplified flight-planning interface to allow the modeler to quickly plan a collection scenario using a UAV type collection platform. DIRSIG can currently follow a flight plan but this requires a great deal of user interaction and modification of configuration files. RIT will evaluate existing flight planning methods in use by the DOE and the community at large and apply a best effort at integrating these existing tools. If this is not possible, a custom approach will be developed that will emulate the best features found in the existing approaches.
4. Create automatic scene building for DIRSIG based upon contextual inputs including geographic information system descriptive layers and/or multi-view airborne imagery collections. The intent of this task is to greatly accelerate and automate the most time consuming task in the DIRSIG workflow, the scene creation process.

RIT Project Number:	30958
Funding:	$700,000
Period of Performance:	September 19, 2008 to September 18, 2012

Department of Energy

Accurate Radiometric Temperature Measurements Using Thermal Infrared Imagery of Small Targets, Physics-Based Modeling, and Companion High-Resolution Optical Image Data Sets


A physics-based target space approach to small target temperature determination is being developed that will allow targets that are the same size as a thermal infrared sensor ground sampling distance to be interrogated for subsequent analysis.

Current approaches to this problem employ traditional frequency domain restoration techniques that are based upon an estimate of the point spread function of the sensing system. This approach, however, is subject to error for a number of reasons. The point spread function of the entire collection system includes spatial blurring due to atmospheric scattering and sensor motion. These parameters are typically not included in the solution and as such the process produce errant answers. Additionally, these traditional techniques work for targets that occupy several pixels in a scene, not for single or subpixel sized targets.

The proposed approach will use the DIRSIG synthetic image modeling code to produce hundreds or thousands of possible candidate images of the target/background under examination. Different positioning of the target relative to the sensor sampling array will be generated as well as varying background and target temperature combination. This create synthetic target space will be developed so as to include the actual scenario encountered. Image matching techniques will be used to compare the actual thermal image to each synthetic image in the target space to find the best match and therefore the most likely set of physical parameters.

A complete validation and verification of the developed technique will be carried out using modeled data, data collected from a fixed imaging platform with full control over all target space parameters, and in a real-world airborne image collection experiment. Data will be collected so that an assessment of accuracy of this proposed technique may be assessed.

RIT Project Number:	30830
Funding:	$656,751
Period of Performance:	September 19, 2008 to September 18, 2012

Central Inteligence Agency IC Post Doctorate Fellowship Program (FY08)

Image-Based Determination of Polarized Bidirectional Reflectance Distribution Function For In-Field Characterization of Materials


This fellowship will focus on the development of novel experimental techniques and complementary modeling tools to accurately predict the polarized bi-directional reflectance distribution function (BRDF) of a variety of materials of interest to the remote sensing community. In addition, the research will develop a collection methodology for measuring polarized BRDF remotely for denied targets. The experimental techniques will take advantage of an image based approach to BRDF measurement with emphasis on deriving the polarized Mueller scattering matrix form of the BRDF.

RIT Project Number:	30866
Funding:	$239,978
Period of Performance:	September 4, 2008 to October 20, 2010

Savannah River National Laboratory / Department of Energy

Ice Characterization Using Remote Sensing Techniques


RIT is collaborating with the Savannah River National Laboratory (SRNL) to extend the capabilities of the ALGE hydrodynamic code to include simulations of surface ice formation and melting in cooling lakes that receive heated effluent from nuclear reactors operating in cold climates and collect the data needed to validate this extended version of the ALGE code at suitable locations in the northern US or Canada. SRNL uses the ALGE code to perform technical analyses of heat-generating industrial facilities for DOE and other government agencies. At present, ALGE simulations of cooling lakes and other bodies of water being used to dissipate waste heat from nuclear reactors are restricted to ice-free conditions. This restriction prevents imagery analysis for more than one-half the year at some northern sites. The extension to the ALGE code proposed here will allow year-round applications of the code which will result in more rapid completion of technical analyses.

RIT Project Number:	30789
Funding:	$849,971
Period of Performance:	January 22, 2008 to January 21, 2011

PAST-FUNDED RESEARCH CONTRACTS/GRANTS/GIFTS

Central Inteligence Agency IC Post Doctorate Fellowship Program (FY06)

Effects of Humidity On Atmospheric Transmission For Infrared Sensors


This fellowship will perform a comparative analysis of ship-based thermal infrared spectroradiometer measurements against MODTRAN simulations incorporating humidity dependent aerosol nucleation effects.

It is commonly assumed that scattering effects are negligible in the thermal infrared region. This, however, is based on standard atmospheric and aerosol models that have particle size distributions that are heavily weighted and have maximum concentrations in the sub-micron range. While particle concentrations in the super-micron range are orders of magnitude smaller than its submicron counterparts, certain conditions of high humidity may significantly increase their concentrations to levels that may impart scattering effects in the thermal infrared regions.

This hypothesis will be tested using the MODTRAN radiative transfer model (Berk 1989) coupled with the NOVAM - Navy Oceanic Vertical Aerosol Model (Gatham 1993). Given the nature of the data set from Explorer of the Seas ARM facility, this is a logical approach since oceanic aerosols will be inherent to the environment of the surface based measurements. The NOVAM model will be used to obtain first order estimates of potential aerosol effects and indicate possible aerosol nucleation mechanisms describing the concentrations of larger hygroscopic aerosols and their particle size distributions (Leeuw 1992). Currently, the NOVAM model supports three mode radii (peak of the particle size distribution) of 0.03, 0.24, and 2.0 microns. Modifications to the model to include larger mode radii will be investigated to support the thermal scattering hypothesis.

RIT Project Number:	30632
Funding:	$239,926
Period of Performance:	August 17, 2006 to February 16, 2009

DP Instruments / Environmental Protection Agency

Gaseous Effluent Detection System


RIT will perform a system integration of the DP Instruments MARLIN high-speed FTIR spectrometer with a FLIR Systems GasFindIR camera to create a bore-sighted or common-optic system capable of imaging effluent gas plumes and making spectral signature measurements at a central location in the field of view. RIT will further perform a proof-of-concept field study with this system against controlled gas releases. Once the data is collected, RIT will continue to analyze this data by producing an analysis software capability to perform gas identification and volume/rate-of-release estimations.

RIT Project Number:	30603/30652
Funding:	$47,400
Period of Performance:	May 1, 2006 to November 30, 2006

Savannah River National Laboratory / Department of Energy

Exploitation Tool For Mechanical Draft Cooling Towers


RIT will provide support to gain insight into the phenomenology that influences the radiance field leaving the interior of a mechanical-draft cooling tower (MDCT). The DIRSIG modeling capability will be enhanced such that the models produced reflect, as accurately as possible, the actual data gathered with real airborne infrared imaging systems. These modeling efforts will focus on the phenomenology associated with "cavern-like" targets with numerous material types internally contained. This effort will be cyclical in nature with modeling approaches continually modified based on newly discovered phenomenology observed in real image data. The desired outcome of the modeling will be accurate internal-element emissivities and temperatures for the components that comprise the cooling tower for use with an external process model developed by Savannah River National Laboratory.

RIT Project Number:	30571
Funding:	$457,820
Period of Performance:	February 2, 2006 to June 30, 2009

MITRE Corporation / Central Intelligence Agency

ITIC Spectroradiometry Program Support


RIT will provide support to the government as a critical participant in the National Signatures Program (NSP) working group monthly meetings. The NSP is responsible for the establishment of spectral measurements standards for solid, liquid, and gaseous materials. Standards in the form of measurement methodologies, formats, metadata, etc. fall within the purview of this group. RIT has been asked to be the representative for the government organization that funds and oversees this program to provide guidance, experience, and critical review to/of this programs efforts and to report back to the supporting organization with impressions and advice.

RIT Project Number:	30517/30654
Funding:	$56,289
Period of Performance:	February 1, 2005 to July 31, 2007

National Reconnaissance Office (NRO) - LASS 2004/05 (CLIN 002)

Spectral Database Development


RIT will provide support through the Laboratory for Advanced Spectral Sensing for the development of an enhanced full spectrum material reflectance database to support more realistic simulations in the DIRSIG model. Current database holdings will be evaluated and test plan developed and executed to provide additional spectra to fill in voids in the current database.

RIT Project Number:	30483
Funding:	$40,000
Period of Performance:	November 1, 2004 to May 31, 2006

Mission Research Corporation / Air Force Research Laboratory (WPAFB)

Calibration Test Target Development For Longwave Infrared Test Chambers


RIT will be providing modeling support in the development of calibration test targets for longwave infrared (IR) test chamber characterization. RIT will utilize its DIRSIG model to represent the interior environment of the IR test chamber located at the WPAFB facility and the potential calibration targets that will be used, performing trade-off and optimization studies as top the efficacy of the designs to choose the proper target to manufacture. RIT will also place certain targets of interest into a cluttered IR background to assist in the design of future chambers with enhanced background capability.

RIT Project Number:	30463
Funding:	$150,009
Period of Performance:	June 15, 2004 to November 11, 2005

ITT Industries / Space Systems Division (ICAP)

Three-Band Temperature Extraction Algorithm


RIT will provide support for the development of new and/or evaluation of existing temperature extraction methodologies for infrared imagery. Techniques using a single band, multiple band, or multispectral/hyperspectral image data will be within the scope of this task. RIT will provide modeling support to produce synthetic imagery for evaluation of these algorithms using DIRSIG as requested. This support will may be in the form of assistance in the development of specific sensor models, specific imaging scenarios, and/or to provide a robust data set as a test-bed for new and existing algorithms. RIT will attend community meetings to report on the algorithm and modeling tasks as well as to provide critical review and/or insight into other proposed methodologies.

RIT Project Number:	30459
Funding:	$188,873
Period of Performance:	May 1, 2004 to September 30, 2006

New York State Office of Cyber Security and Critical Infrastructure Coordination

Selective Degradation Algorithm For Air Photo Imagery Database Applications


RIT will be providing a software tool that will allow the NYS OCSCIC to selectively degrade their online statewide library of aerial photographs to protect critical infrastructure information. As part of the Homeland Security initiative afoot in New York State, the OCSCIC desires a tool that would let them selectively degrade the resolution of their archives of air photos that are available to the public so that potential organizations that would aspire to do harm to these facilities do not have high quality data available to them, while maintaining the quality of the data in other regions for legitimate users. RIT will develop this software tool to key off of OSCCIC supplied shape files and apply the degradation to the library of imagery.

RIT Project Number:	33315
Funding:	$21,039
Period of Performance:	April 4, 2004 to September 4, 2004

BAE Systems

Dynamic Range Adjust Algorithm For Forward-Looking Infrared Imagers


RIT will be utilizing funds provided to the current capital campaign by BAE Systems to support a graduate student in Imaging Science. The student will work on a project of interest to both RIT and BAE Systems for their thesis research project. The student will spend a Summer quarter working at BAE Systems with their scientist and engineers to gain real-world experience during their academic work.

RIT Project Number:	20157
Funding:	$34,306
Period of Performance:	December 1, 2003 to November 30, 2004

Pictometry International Corporation / CEIS

Automated Tie-Point Selection From Oblique Air Photo Imagery


RIT is determining the feasibility of automated tie point identification on numerous oblique air photos collected with the Pictometry system. Once a feasible approach is identified, RIT will be developing prototype software to assist Pictometry in this now largely manual process. This research was funded in part by CEIS, a NYSTAR-designated Center for Advanced Technology.

RIT Project Number:	36291/C3320/33320
Funding:	$26,300
Period of Performance:	September 5, 2003 to September 4, 2004

LaSen, Incorporated / Army Research Laboratory

Feasibility Study For Incorporating LIDAR Into DIRSIG


RIT performed two (2) tasks for LaSen, Incorporated in support of their aircraft-based LIDAR system. RIT investigated the feasibility of modeling a LaSen midwave infrared LIDAR system using DIRSIG with particular attention to spectral resolution, pulse generation, ground resolution, and atmospheric interaction. In addition, RIT made several high-spectral resolution reflectance measurements in the 3 to 5 micron region to aid in current exploitation task being carried out by the sponsor.

RIT Project Number:	30903
Funding:	$7,000
Period of Performance:	May 1, 2003 to September 30, 2003

General Dynamics / National Air Intelligence Center

NAIC Spectral Exploitation Center Spectral Library Support


RIT is supporting the NAIC Spectral Exploitation Center (NSEC) Spectral Library Support initiative by developing laboratory and field spectral library protocols to assure high quality spectral measurements are provide to the library expansion task. In addition, RIT personnel and students are measuring the spectral signatures of materials supplied by the library expansion team as well as those encountered during field exercises using laboratory and field spectrometers. Spectral reflectance measurements are being made from 0.35 through 20 microns for all materials.

RIT Project Number:	30340
Funding:	$470,540
Period of Performance:	October 16, 2002 to September 20, 2004

TEACHING

As an Associate Professor at the Rochester Institute of Technology, I am part of the Digital Imaging and Remote Sensing Laboratory at the Chester F. Carlson Center for Imaging Science, a department within the College of Science. I teach courses in digital image processing, remote sensing, and a variety of computing languages for imaging science students.

1051.211 / Programming for Imaging Science

This course will introduce the student to the IDL environment as a data visualization tool and a programming language. The student will learn the various capabilities of the package and how they can rapidly prototype solutions to various science and engineering problems. As these solutions are developed, fundamental concepts of programming and data structures will be introduced. Programming assignments will include fundamental imaging related problems and will work with scalar, vector and array processes. This course will emphasize the need for concrete problem definition, problem decomposition into smaller sub-problems, implementation/testing, and presentation/documentation of the algorithms and results. (Algebra and trigonometry) Class 4, Credit 4

1051.361 / Digital Image Processing I

This course is an introduction to the basic concepts of digital image processing. The student will be exposed to image capture and image formation methodologies, sampling and quantization concepts, statistical descriptors and enhancement techniques based upon the image histogram, point processing, neighborhood processing, and global processing techniques based upon kernel operations and discrete convolution as well as the frequency domain equivalents, geometrical operations for scale and rotation, and grey-level resampling techniques. The student will be introduced to the computation of the discrete and fast Fourier transforms for one- and two-dimensional functions and the techniques of frequency domain filtering. Emphasis is placed on applications and efficient algorithmic implementation using the IDL programming language. (1016-305, 1051-211 or equivalent) Class 4, Credit 4

1051.462 / Digital Image Processing II

This course is an introduction to the more advanced concepts of digital image processing. The student will be exposed to image reconstruction, noise sources and techniques for noise removal, information theory, image compression, video compression, wavelet transformations and the basics of digital image watermarking. Emphasis is placed on applications and efficient algorithmic implementation using the IDL programming language. (1051-461) Class 4, Credit 4

1051.463 / Digital Image Processing III

This course discusses the digital image processing concepts and algorithms used for the analysis of hyperspectral, multispectral and multi-channel data in remote sensing and other application areas. Concepts are covered at the theoretical and implementation level using current, popular commercial software packages and high-level programming languages for examples, homework and programming assignments. The requisite multivariate statistics will be presented as part of this course as an extension of the univariate statistics that the students have previously been exposed to. Topics to be covered will include methods for supervised data classification, clustering algorithms and unsupervised classification, multispectral data transformations, data redundancy reduction techniques, image-to-image rectification, and data fusion for resolution enhancement. (1051-211 or equivalent, 1016-351, 1061-352) Class 4, Credit 4

1051.502 / 1051.503 / Senior Project

Guidance for undergraduate level research projects leading to Bachelor of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:
1. Brandon Migdal (BS), Extraction methods of watermarks from linearly-distorted images to maximize signal-to-noise ratio, May 2004
2. Seth Weith-Glushko (BS), Automatic tie-point generation for oblique aerial imagery: An algorithm, May 2004
3. Christopher Bayer (BS), Development of algorithm for fusion of hyperspectral and multispectral imagery with the objective of improving spatial resolution while retaining spectral data, May 2005
4. Bethany Choate (BS), Investigating the use of agglomerative hierarchical clustering as a method for multispectral image classication, May 2006
5. William Pfeister (BS), Automation of a laboratory-based goniometer for measurment of bidirectional reflectance distribution functions, May 2006
6. Michael Denning (BS), Classification of astronomical infrared sources using Spitzer space telescope data, February 2007
7. Russell Barkley (BS), Tracking fluorescent particles used in lung simulation studies using high-speed video imagery, May 2008 (Primary Advisor: Risa Robinson)
8. Meredith Curtis (BS), Application of image reconstruction techniques to Mars neutron spectroscopy data, February 2009
9. Paul Romanczyk (BS), Currently in progress
10. Katie Salvaggio (BS), Currently in progress

0303.560 / 0303.561 / Multidisciplinary Engineering Senior Design

The Multidisciplinary Senior Design program prepares students for modern engineering practice through a multidisciplinary, team-based design experience in which the students apply the skills and knowledge acquired in earlier coursework to define, analyze, design and implement solutions to unstructured, open-ended, multidisciplinary engineering problems while adhering to customer requirements and recognized engineering standards. The projects are sponsored by wide range of industries and government organizations. I am currently serving on or have served as an advisor for the following students:
1. Rick Andol (BS), BRDF Imaging Platform (P07521), May 2006
2. Kathryn Berens (BS), BRDF Imaging Platform (P07521), May 2006
3. William Casolara (BS), BRDF Imaging Platform (P07521), May 2006
4. Matthew Harris (BS), BRDF Imaging Platform (P07521), May 2006
5. Robert Jaromin (BS), BRDF Imaging Platform (P07521), May 2006
6. Ross Strebig (BS), BRDF Imaging Platform (P07521), May 2006
7. Lenny Calabrese (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress
8. Joanna Dobeck (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress
9. Darrell Draper (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress
10. Dave Lewis (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress
11. Steve Sweet (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress
12. Jason Thibado (BS), Unmanned Autonomous Vehicle Imaging Platform (R09560), Currently in progress

1051.553 / Special Topics - Programming for Imaging Science II

This course emphasizes the algorithm development and implementation of advanced digital imaging applications. Modular programming concepts are emphasized along with good coding and documentation practices. The course will be carried out in the UNIX operating environment and IDL will be the programming language utilized. Language specific characteristics such as the use of IDL widgets for graphical user interface development, the use of IDL objects, the use of ENVI specific functions and procedures, further treatment of image data types, and color management will be explored. Example algorithmic areas that may be explored are image compression, color space transformations, frequency domain image reconstruction, and the use of multi-band imagery. (1051-211 or permission of instructor) Class 2, Credit 2

1051.553 / Special Topics - Applied Computing for Imaging Science

This course is intended to develop the students skills in applied computing and research techniques. A prerequisite to scientific advancement is a thorough understanding of historical and recent literature relevant to the field of study. This often involves repeating experiments that predecessors and current colleagues have performed. Often, insights are gained when experiments are repeated that cannot be realized simply by reading an article in a professional journal or conference proceeding. In this course, the student will choose an article from the historical or recent literature that describes a computational technique used in the field of imaging science. The student will implement the described algorithm in the computer language of their choice, and attempt to repeat the results obtained by the author. Along the way, the student will make three oral presentations during class, the first describing the referenced research, the second, a report on their progress in re-implementing the referenced work, and the third, describing the success, failure or questions that arose during execution of the project. The intent is to develop a critical approach to reading published research, questioning both implementation and results in order to gain a thorough understanding of the work. (1051-211 or equivalent and permission of the instructor) Class 2, Credit 3

1051.599 / 1055.359 / Undergraduate Independent Study (Honors Research)



Cynthia Scigaj (Undergraduate)
A study in sensor design specifications was carried out to prepare sensor models for the Digital Image and Remote Sensing laboratories Synthetic Image Generation model (DIRSIG). The student performed a very thorough review of the literature to establish a comprehensive database of sensor characteristics for systems in use today by commercial and government organizations.
Completed: February 2002

Bethany Choate (Undergraduate)
A study to determine whether agglomerative hierarchical clustering used as a pre-cursor to traditional K-mean unsupervised classification as a means of determining the initial cluster mean values provides better selection than the traditional random choice methodology
Completed: May 2005

Jarrett Whetstone (Undergraduate)
An implementation of the seam carving algorithm for dynamic image resizing was undertaken in the IDL programming language to identify any limitations that may be present and demonstrate the viability of this technique.
Completed: November 2007

Erin Schmidtmann (Undergraduate)
A study in programming using the IDL language with applications to image and radiometric processing.
Completed: May 2008

Ann Nunziata (Undergraduate)
A primer class on LabView programming with a specific application to motor and camera control applied to the DIRS laboratory spectrogoniometric brdf measurement system.
Completed: August 2008

Jon Purington (Undergraduate)
An introduction to Cocoa programming under Mac OS X concentrating on the use of the Apple Core Video library routines for video processing.
Completed: February 2009

1051.753 / Remote Sensing - Sensors and Image Analysis

This course will provide the basic fundamentals necessary to understand the field of remote sensing including sensors designs, photogrammetry, radiation propagation, atmospheric compensation, unique image processing techniques, multispectral concepts and techniques, and image/information combining methodologies. Class 3, Lab 1, Credit 4

1051.782 / Introduction to Digital Image Processing

This course will provide the basic understanding of imaging systems, image transformation and associated mathematics and computational processes needed for upper-level classes in the imaging science graduate program. Topics covered include linear vector spaces, image mathematics, image statistics and point processing, linear and nonlinear image filters, image transforms and computer algorithms. Computational methods and techniques for essential processes for imaging systems are used as the course framework. Class 4, Credit 4

1051.799 / Graduate Independent Study



James Shell (Graduate)
A study to establish the theoretical framework necessary to understand BRDF in the visible to near infrared (VNIR) spectral region was conducteded, along with BRDF measurement techniques. Some popular BRDF models, which enable interpolation of measured data are reviewed. The most general form of the BRDF, that which included polarization, was examined in detail. A viable polarimetric BRDF measurement technique was presented, along with models which may be used to extrapolate the measured data. Potential applications of spectropolarimetric BRDF to remote sensing was reviewed. Finally, a recommendation was made for a simple outdoor BRDF measurement system which enables the application of spatial resolution-dependent BRDF variation toward hyperspectral algorithms and synthetic image generation.
Completed: May 2003

Michael Foster (Graduate)
A study to establish the utility of polarization imagery collected with the LIAS WASP-lite sensor. This work included a system design/performance trade-off of off-the-shelf polarization filters for incorporation in the WASP-lite build being carried out concurrently. In addition, processing algorithms were developed to exploit the future imagery.
Completed: August 2004

Matthew Montanaro (Graduate)
A study to identify and implement numerous mathematical models of bidirectional reflectance functions was carried out. In this study the Priest-Germer, Torrance-Sparrow, Beard-Maxwell, and Ward models were described and implemented in a Matlab based simulation environment.
Completed: May 2006

Sang-Yun Moon (Graduate)
A self-directed study in object-oriented programming using the C++ programming language for image processing and medical imaging system modeling was undertaken.
Completed: August 2006

May Arsenovic (Graduate)
The radiometric and geometric calibration of a constructed image-based spectral gonioradiometer was undertaken. Topics investigated include lamp spectral power distribution, lamp stability, geometric positioning, spectrometer alignment, spectrometer response function, and spectrometer stability. The final product is a LabVIEW control system allowing for calibrated output of spectral bidirectional reflectance factors for sample materials.
Completed: November 2007

Jacqueline Spier (Graduate)
An introduction to object-oriented programming in C++ with the purpose of understanding the numerical radiometric modeling in DIRSIG's photon mapping radiometry solver.
Completed: November 2007

Sang-Yun Moon (Graduate)
A competency in LabVIEW programming was obtained applied to the task of developing a control system for an electron spin resonance spectrometer for the Magnetic Resonnance Imaging laboratory. Visual programming of such tasks as ASCII control codes via RS232 and DAC/ADC board control were mastered during the course of this study.
Completed: November 2008
Primary Advisor: Joseph Hornak

1051.840 / Masters Thesis Project

Guidance for graduate level research projects leading to an online Master of Science degree in Imaging Science. I am currently serving on or have served as an advisor for the following students:
1. Timothy Grabowski (MS), Effects of pixel size on apparent emissivity signatures of materials with longwave infrared spectral characteristics, May 2006
2. Gregory Gosian (MS), A non-probabilistic, compact compression algorithm suitable for deep space solar system mission image transmission, February 2008
3. Kristen Powers (MS), DIRSIG cloud modeling capabilities: A parametric study, January 2009
4. Alexander Cherekos (MS), Gaseous plume detection using projective K-means method, May 2009
5. Cynthia Scigaj (MS), Study and simulation of remote sensing system: COMPact Airborne Spectral Sensor (COMPASS), June 2009
6. Rachel Obajtek (MS), Currently in progress

1051.890 / Research and Thesis

Guidance for graduate level research projects leading to Master of Science or Doctor of Philosophy degrees in Imaging Science. I am currently serving on or have served as an advisor for the following students:

   Master of Science (7)

1. John Francis (MS), Pixel-by-pixel reduction of atmospheric haze effects in multispectral digital imagery of water, May 1989 (Primary Advisor: John Schott)
2. Denis Robert (MS), Selection and analysis of optimal textural features for accurate classification of monochrome digitized image data, May 1989 (Primary Advisor: John Schott)
3. Jan North (MS), Fourier image synthesis and slope spectrum analysis of deep water, wind-wave scenes viewed at Brewster's angle, December 1989 (Primary Advisor: John Schott)
4. Wendy Rosenblum (MS), Optimal selection of textural and spectral features for scene segmentation, May 1990 (Primary Advisor: John Schott)
5. Eric Shor (MS), 3-D longwave infrared synthetic scene simulation, May 1990 (Primary Advisor: John Schott)
6. Curtis Munechika (MS), Merging panchromatic and multispectral images for enhanced image analysis, August 1990 (Primary Advisor: John Schott)
7. Jonathan Wright (MS), Evaluation of LOWTRAN and MODTRAN for use over high zenith angle/long path length viewing, May 1991 (Primary Advisor: John Schott)
8. Sharon Cady (MS), Multi-scene atmospheric normalization of airborne imagery: Application to the remote measurement of lake acidification, April 1992 (Primary Advisor: John Schott)
9. Gustav Braun (MS), Quantitative evaluation of six multispectral, multiresolution image merger routines, July 1992 (Primary Advisor: John Schott)
10. Robert Merisko (MS), Enhancement to atmospheric-correction techniques for multiple thermal images, July 1992 (Primary Advisor: John Schott)
11. David Ehrhard (MS), Application of Fourier-based features for classification of synthetic aperture radar imagery, September 1992 (Primary Advisor: John Schott)
12. Donna Rankin (MS), Validation of DIRSIG an infrared synthetic scene generation model, February 1993 (Primary Advisor: John Schott)
13. Adam Hanson (MS), Character recognition of optically blurred textual images using moment invariants, June 1993 (Primary Advisor: Roger Easton)
14. Kaleen Moriarty (MS), Automated image-to-image rectification for use in change detection analysis as applied to forest clearcut mapping, August 1993
15. Richard Stark (MS), Synthetic image generator model: Application of specular and diffuse reflectivity components and performance evaluation in the visible region, September 1993 (Primary Advisor: John Schott)
16. Gary Ralph (MS), Characterization of the radiometric performance of an IR scene projector, June 1994 (Primary Advisor: John Schott)
17. Elizabeth Frey (MS), An examination of distributional assumptions in Landsat TM imagery, June 1995
18. Neil Scanlan (MS), Comparative performance analysis of texture characterization models in DIRSIG, August 2003 (Primary Advisor: John Schott)
19. Kris Barcomb (MS), High-resolution, slant-angle scene generation and validation of concealed targets in DIRSIG, August 2004 (Primary Advisor: John Schott)
20. Marianne Lipps (MS), Task influence of scene content selected by active vision, August 2004 (Primary Advisor: Jeff Pelz)
21. Erin Peterson (MS), Synthetic landmine scene development and validation in DIRSIG, August 2004 (Primary Advisor: John Schott)
22. David Pogorzola (MS), Gas plume species identification in LWIR hyperspectral imagery by regression analyses, April 2005
23. Melissa Hofer (MS), A website and corresponding database to support the Digital Imaging and Remote Sensing (DIRS) lab in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, June 2005
24. Erin O'Donnell (MS), Detection and identification of effluent gases using invariant hyperspectral algorithms, August 2005
25. Timothy Hattenberger (MS), A psychovisual investigation of global illumination algorithms used in augmented reality, March 2006 (Primary Advisor: Mark Fairchild)
26. Kristin-Elke Strackerjan (MS), Modelling the spectral effects of water and soil as surface contaminants in a high resolution optical image simulation, July 2006 (Primary Advisor: John Kerekes)
27. Seth Weith-Glushko (MS), Quantitative analysis of infrared contrast enhancement algorithms, September 2006
28. Brian Dobbs (MS), The incorporation of atmospheric variability into DIRSIG, October 2006 (Primary Advisor: John Schott)
29. Francis Padula (MS), Historic thermal calibration of Landsat 5 TM through an improved physics based approach, October 2008 (Primary Advisor: John Schott)
30. Chabitha Devaraj (MS), Currently in progress (Primary Advisor: John Schott)
31. Ouyang Ling (MS), Currently in progress (Primary Advisor: Richard Zabinni)
32. Philip Nau (MS), Currently in progress (Primary Advisor: Karl Korfmacher)
33. David Nilosek (MS), Currently in progress
34. Donald Taylor (MS), Currently in progress (Primary Advisor: John Schott)


   Doctor of Philosophy (3)
1. Susan Hojnacki (Ph.D.), A source classification algorithm for astronomical X-ray imagery of stellar clusters, May 2005 (Primary Advisor: Joel Kastner)
2. James Shell (Ph.D.), Polarimetric remote sensing in the visible to near infrared, November 2005 (Primary Advisor: John Schott)
3. Michael Gartley (Ph.D.), Polarimetric modeling of remotely sensed scenes in the thermal infrared, May 2007 (Primary Advisor: John Schott)
4. Yan Li (Ph.D.), An integrated water quality modeling system with dynamic remote sensing feedback, July 2007 (Primary Advisor: Anthony Vodacek)
5. Brent Bartlett (Ph.D.), Improvement of retrieved reflectance in the presence of clouds, August 2007 (Primary Advisor: John Schott)
6. Michael Foster (Ph.D.), Using LIDAR to geometrically constrain signature spaces for physics-based target detection, August 2007 (Primary Advisor: John Schott)
7. Zhen Wang (Ph.D.), Modeling wildland fire radiance in synthetic remote sensing scenes, August 2007 (Primary Advisor: Anthony Vodacek)
8. Marvin Boonmee (Ph.D.), Land surface temperature and emissivity retrieval from thermal infrared hyperspectral imagery, October 2007 (Primary Advisor: John Schott)
9. Derek Walvoord (Ph.D.), Advanced correlation-based character recognition applied to the Archimedes palimpsest, May 2008 (Primary Advisor: Roger Easton)
10. Marcus Stefanou (Ph.D.), Spectral image utility for target detection applications, July 2008 (Primary Advisor: John Kerekes)
11. Matthew Montanaro (Ph.D.), Radiometric modeling of mechanical draft cooling towers to assist in the extraction of their absolute temperature from remote thermal imagery, May 2009
12. May Arsenovic (Ph.D.), Currently in progress
13. Xiofeng Fan (Ph.D.), Currently in progress (Primary Advisor: Harvey Rhody)
14. Shawn Higbee (Ph.D.), Currently in progress (Primary Advisor: David Messinger)
15. Feng Li (Ph.D.), Currently in progress (Primary Advisor: Jeff Pelz)
16. Sarah Paul (Ph.D.), Currently in progress
17. Ariel Schlamm (Ph.D.), Currently in progress (Primary Advisor: David Messinger)
18. Carl Smith (Ph.D.), Currently in progress (Primary Advisor: Jonathan Arney)
19. Jaqueline Speir (Ph.D.), Currently in progress (Primary Advisor: John Schott)
20. Alvin Spivey (Ph.D.), Currently in progress (Primary Advisor: Anthony Vodacek)
21. Aaron Weiner (Ph.D.), Currently in progress (Primary Advisor: David Messinger)
22. Yushan Zhu (Ph.D.), Currently in progress (Primary Advisor: Anthony Vodacek)

In the past, I have offered the following undergraduate, graduate, and industry/government short courses at the Center and in other venues


C Programming for Imaging Science (RIT)
C++ Programming for Imaging Science (RIT)
FORTRAN Programming (RIT)
Programming Concepts for Technical Photography (RIT)
Digital Image Processing: Image Compression (RIT)
Principles of Remote Sensing Image Analysis: Radiometry (RIT)
Principles of Remote Sensing Image Analysis: Multispectral Image Analysis (RIT)
Principles of Remote Sensing Image Analysis: Thermal Infrared Remote Sensing (RIT)
Digital Image Processing with Application to Remote Sensing (Royal Canadian Air Force)
Special Topics in Imagery Analysis (NIMA College)

SERVICE

SERVICE TO RIT

   Current Activities

• Institute Research Computing Advisory Board (9/2006-present) - Vice Chairperson
• Center for Imaging Science Undergraduate Coordinator (5/2006-present)
• College of Science Computer Committee (1/2004-present)
• Center for Imaging Science Minor Coordinator (6/2003-present)
• Center for Imaging Science Computer Advisory Committee (6/2003-present) - Chairperson
• Center for Imaging Science Undergraduate Curriculum Committee (9/2002-present)

   Past Activities

• College of Science Administrative Council (9/2007-8/2008)
• College of Imaging Arts and Sciences Faculty Search Committee (Digital Cinema) (9/2007-5/2008)
• Institute Research Computing System Administrator Search Committee (02/2007-6/2007)
• Center for Imaging Science System Administrator Search Committee (9/2006-10/2006) - Chairperson
• Center for Imaging Science Computer Strategy Task Force (5/2006-12/2006)
• Institute Head of Research Computing Search Committee (11/2004-7/2005)
• Center for Imaging Science Web Improvement Team (8/2004-12/2006)
• College of Science Academic Conduct Committee / Alternate (1/2004-9/2007)
• Center for Imaging Science Director Search Committee (8/2003-2/2004)

SERVICE TO STUDENTS

• Currently serving or have served on 80 research committees for Ph.D. dissertations, M.S. theses/projects and B.S. senior projects within the Chester F. Calrlson Center for Imaging Science, the College of Science, the College of Engineerring, and the Golisano College of Computing and Information Sciences. Have served as the major professor on 3 doctoral-level dissertation, 12 masters-level theses/projects and 21 bacheloriate-level senior projects.
• Serve as faculty advisor for the RIT Cell Processor Programmers Users Group
• Enacted an arrangement with ITT Visual Information Systems to provide 300 network licenses for their IDL and ENVI software for use by all RIT faculty, staff, and student researchers free of charge (a $4.28M donation)
• Enacted an arrangement with Research Systems Incorporated (a Kodak Company) to provide their IDL and ENVI software to all students currently enrolled in Imaging Science courses free of charge (a $1.7M donation)
• Regularly conduct group programming tutoring section for students who feel their skills need to be developed further to succeed in Imaging Science courses
• Serve as the faculty advisor to the RIT student chapter of IS&T
• Have employed 35 undergraduate students to date either as student employees or under the cooperative education program to assist on funded research programs providing the students with marketable experience in the field of imaging science and remote sensing
• Midnight Breakfast server 20032, 20041, 20042, 20051, 20052, 20061, 20062, 20063, 20071, 20072, 20081
• Outstanding Undergraduate Scholar Ceremony 20033, 20043, 20053, 20063, 20073
• Residence Life Orientation Volunteer - 20041, 20051, 20061
• RIT ROCS (Reaching Out for Community Service) - 20041, 20051

RECRUITING EFFORTS/EVENTS

• Greece Central School Distric Career Exploration Night - April, 8, 2008

SERVICE TO PROFESSIONAL SOCIETIES

• Serve as a reviewer for articles to be published in journals of The International Society for Optical Engineering (SPIE)
• Serve as a reviewer for articles to be published in journals of Imaging Science and Technology (IS&T)
• Serve as a reviewer for articles to be published in journals of the American Society of Photogrammetry and Remote Sensing (ASPRS)
• Serve as a reviewer for articles to be published in journals of the Electronics and Telecommunications Research Institute (ETRI)
• Serve as a reviewer for articles to be published in Remote Sensing of Environment
• Serve as an International Program Committee (IPC) member and reviewer for the International Association of Science and Technology for Development (IASTED) - 2006, 2007, 2008

PROFESSIONAL SOCIETIES / CONFERENCE SESSIONS CHAIRED

• Mini-Symposium on Remote Sensing, GIS and Digital Image Processing, hosted by the Central New York Region of ASPRS, held at the Rochester Institute of Technology, May 1989.
• Research in Remote Sensing, Photogrammetry and GIS in Central New York, hosted by the Central New York Region of ASPRS, held at the Rochester Institute of Technology, April 1992.
• Information Extraction and Exploitation Algorithms, International Congress on Imaging Science 2006, hosted by the Society for Imaging Science and Technology, held at the Hyatt Regency Hotel, Rochester, NY, May 2006.
• Reference Spectral Signatures Conference, hosted by the ITIC and National Signatures Program, held at the Northrop Grumman Corporation, Vienna, VA, May 2006.

PROFESSIONAL SOCIETIES / CONFERENCE PROGRAM COMMITTEES

• Conference on Environmental Modelling and Simulation (EMS 2006), hosted by the International Association of Science and Technology for Development (IASTED), St. Thomas, U.S. Virgin Islands, November 2006.

• Conference on Environmental Modelling and Simulation (EMS 2007), hosted by the International Association of Science and Technology for Development (IASTED), Honolulu, HI, August 2007.

• Conference on Environmental Modelling and Simulation (EMS 2008), hosted by the International Association of Science and Technology for Development (IASTED), Orlando, FL, November 2008.

AWARDS

2009

Nominated for the "Exemplary Online Learning Faculty Award" sponsored by the Online Learning department at RIT



2008

Nominated for the "Exemplary Online Learning Faculty Award" sponsored by the Online Learning department at RIT



2007

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT



2006

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT



2004

Nominated for "The M. Herbert and Elsa Bausch Eisenhart Award for Outstanding Teaching" at RIT



2004

Recipient of "RIT Student Government, College of Science, Fall Faculty of the Quarter"



The College of Science Student Advisory Board has recognized an outstanding faculty member each term this year with a new COS Faculty of the Quarter Award. Winners are nominated by students and selected by members of the COSSAB based on their dedication and enthusiasm shown to the student body. The award is unique within COS and is recognized by Student Government. Award winners are, from left to right, Carl Salvaggio, professor of imaging science and winner of the fall quarter, Robert Rothman, professor of biological sciences and winner of the spring quarter, and Matthew Coppenbarger, professor of mathematics and statistics and winner of the winter quarter. (RIT News and Events, May 2004)

PUBLICATIONS

THESES

Salvaggio, C., Multispectral synthetic scene generation using atmospheric propagation and thermodynamic models, Ph.D. Dissertation, State University of New York, College of Environmental Science and Forestry, Environment Resource Engineering, Syracuse, New York, United States of America (1994)

Salvaggio, C., Automated segmentation of urban features from Landsat Thematic Mapper imagery for use in pseudoinvariant feature temporal image normalization, M.S. Thesis, Rochester Institute of Technology, College of Science, Center for Imaging Science, Rochester, New York, United States of America (1987)




REFEREED JOURNAL ARTICLES

Kerekes, J.P.; Strackerjan, K.E.; Salvaggio, C., Spectral reflectance and emissivity of man-made surfaces contaminated with environmental effects, Optical Engineering, 47, 10, 106201, doi:10.1117/1.3000433, pp. 106201/1-106201/10 (2008)

Messinger, D.W.; Salvaggio, C.; Sinisgalli, N.M., Detection of gaseous effluents from airborne LWIR hyperspectral imagery using physics-based signatures, International Journal of High Speed Electronics and Systems (IJHSES), 17, 4, pp. 801-812 (2007)

Salvaggio, C.; Boonmee, M.; Sinisgalli, N.M.; Messinger, D.W., Three-band temperature extraction from airborne imagery with imprecise atmospheric knowledge, Journal of Geophysical Research, 111, D13107, doi:10.1029/2005JD006770 (2006)

Munechika, C.K.; Warnick, J.S.; Salvaggio, C.; Schott, J.R., Resolution enhancement of multispectral image data by scene merger for improved classification accuracy, Photogrammetric Engineering and Remote Sensing, 59, 1, pp. 67-72 (1993)

Schott, J.R.; Raqueno, R.V.; Salvaggio, C., Incorporation of a time-dependent thermodynamic model and a radiation propagation model into infrared three-dimensional synthetic image generation, Optical Engineering, 31, 7, pp. 1505-1516 (1992)

Salvaggio, C.; Israel, S.A.; Kang, Y.T.; Bartholomew, M.L.; Pokrzywka, D.M.; Davis, J.S.; Duggin, M.J., Modeling scanning and staring imaging infrared sensors using a static performance model, International Journal of Remote Sensing, 11, 12, pp. 2311-2328 (1990)

Schott, J.R.; Salvaggio, C.; Volchok, W.J., Radiometric scene normalization using pseudoinvariant features, Remote Sensing of Environment, 26, 1, pp. 1-16 (1988)




CONFERENCE PROCEEDINGS

Faulring, J.W.; Casterline, M.V.; Salvaggio, C.; Kremens, R.L.; Salvaggio, P.S., Deployment of an Autonomous Sensor Network for Remote Sensing Applications, International Society for Computers and Their Applications, ISCA First International Conference on Sensor Networks and Applications (SNA-2009), San Francisco, California, United States, November (2009)

Walli, K.C.; Nilosek, D.R.; Schott, J.R.; Salvaggio, C., Airborne synthetic scene generation (AeroSynth), Proceedings of the ASPRS, ASPRS/MAPPS 2009 Fall Conference, Digital Mapping - From Elevation to Information, Digital Elevation Data Fusion Innovations, San Antonio, Texas, United States, November (2009)

Bartlett, B.D.; Devaraj, C.; Gartley, M.G.; Salvaggio, C.; Schott, J.R., Spectro-polarimetric BRDF determination of objects using in-scene calibration materials for polarimetric imagers, Proceedings of SPIE, SPIE Optics and Photonics, Polarization Science and Remote Sensing IV, Calibration, Compensation, and Optimization, 7461, San Diego, California, United States, pp. 74610T1-74610T11, August (2009)

Montanaro, M.; Salvaggio, C.; Brown, S.D.; Messinger, D.W.; Garrett, A.J.; Bollinger, J.S., Radiometric modeling of mechanical draft cooling towers to assist in the extraction of their absolute temperature from remote thermal imagery, Proceedings of the SPIE, SPIE Defense and Security, Thermosense XXXI, Infrared Sensors and Systems, 7299, 8, Orlando, Florida, United States, April (2009)

Arsenovic, M.V.; Salvaggio, C.; Garrett, A.J.; Bartlett, B.D.; Faulring, J.W.; Kremens, R.L.; Salvaggio, P.S., Use of remote sensing data to enhance the performance of a hydrodynamic simulation of a partially frozen power plant cooling lake, Proceedings of the SPIE, SPIE Defense and Security, Thermosense XXXI, Infrared Sensors and Systems, 7299, 10, Orlando, Florida, United States, April (2009)

Montanaro, M.; Salvaggio, C.; Messinger, D.W.; Brown, S.D.; Garrett, A.J., Apparent temperature dependence on localized atmospheric water vapor, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 6966, 696618, Orlando, Florida, United States of America, pp. 1505-1516, April (2008)

Sarkar, A.; Fairchild, M.D.; Salvaggio, C., Integrated daylight harvesting and occupancy detection using digital imaging, Proceedings of the SPIE, SPIE Electronic Imaging, Digital Image Sensors and Applications, Sensors, Cameras, and Systems for Industrial/Scientific Applications IX, 6816, 68160F, doi:10.1117/12.765961, San Jose, California, United States of America, pp. 68160F/1-68160F/12, January (2008)

Montanaro, M.; Salvaggio, C.; Brown, S.D.; Messinger, D.W.; Goodenough, A.A.; Garrett, A.J.; Villa-Aleman, E., Radiometric modeling of cavernous targets to assist in the determination of absolute temperature for input to process models, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 6565, 656511, doi:10.1117/12.718666, Orlando, Florida, United States of America, pp. 656511/1-656511/10, April (2007)

Weith-Glushko, S.A.; Salvaggio, C., Quantitative analysis of infrared contrast enhancement algorithms, Proceedings of the SPIE, SPIE Defense and Security, Infrared Imaging Systems, Design, Analysis, Modeling and Testing XVIII, 6543, 65430S, doi:10.1117/12.720092, Orlando, Florida, United States of America, pp. 65430S/1-65430S/12, April (2007)

Williams, D.J.; Wadsworth, W.; Salvaggio, C.; Messinger, D.W., A hybrid thermal video and FTIR spectrometer system for rapidly locating and characterizing gas leaks, Proceedings of the SPIE, SPIE Optic and Photonics, Remote Sensing of Aerosol and Chemical Gases, Model Simulation, Assimilation, and Applications to Air Quality, 6299, 62990O, San Diego, California, United States of America, pp. 62990O/1-62990O/4, August (2006)

Messinger, D.W.; Salvaggio, C.; Sinisgalli, N.M., Detection of gaseous effluents from airborne LWIR hyperspectral imagery using physics-based signatures, Proceedings of the ISSSR, 2006 International Symposium of Spectral Sensing Research, Frontier Sensing and Monitoring, Novel Hyperspectral Sensors and Algorithms, Bar Harbor, Maine, United States of America, pp. 712-723, June (2006)

O'Donnell, E.M.; Messinger, D.W.; Salvaggio, C.; Schott, J.R., The invariant algorithm for identification and detection of multiple gas plumes and weak releases, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States of America, pp. 206-217, April (2005)

Pogorzala, D.R.; Messinger, D.W.; Salvaggio, C.; Schott, J.R., Gas plume species identification in overhead LWIR imagery using constrained stepwise regression analyses, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States of America, pp. 194-205, April (2005)

Raqueno, N.G.; Smith, L.E.; Messinger, D.W.; Salvaggio, C.; Raqueno, R.V.; Schott, J.R., Megacollect 2004: Hyperspectral collection experiment of terrestrial targets and backgrounds of the RIT Megascene and surrounding area (Rochester, New York), Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States of America, pp. 554-565, April (2005)

Weith-Glushko, S.A.; Salvaggio, C., Automatic tie-point generation for oblique aerial imagery: An Algorithm, Proceedings of the ASPRS, 2005 ASPRS Annual Conference, Geospatial Goes Global: From Your Neighborhood to the Whole Planet, Data Processing and Techniques, Techniques for Improvement of Image Accuracy, Baltimore, Maryland, United States of America, March (2005)

Salvaggio, C.; Smith, L.E.; Antoine, E.J., Spectral signature databases and their application/misapplication to modeling and exploitation of multispectral/hyperspectral data, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States of America, pp. 531-541 (2005)

Pogorzala, D.R.; Messinger, D.W.; Salvaggio, C.; Schott, J.R., Gas plume species identification by regression analyses, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 5425, Orlando, Florida, United States of America, pp. 583-591, April (2004)

O'Donnell, E.M.; Messinger, D.W.; Salvaggio, C.; Schott, J.R., Identification and detection of gaseous effluents from hyperspectral imagery using invariant algorithms, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 5245, Orlando, Florida, United States of America, pp. 573-582, April (2004)

Salvaggio, C.; Miller, D.P., Temporal variations in the apparent emissivity of various materials, Proceedings of the SPIE, SPIE Defense and Security, Sensor Data Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 5425, Orlando, Florida, United States of America, pp. 293-303, April (2004)

Shell, J.R.; Salvaggio, C.; Schott, J.R., A novel BRDF measurement technique with spatial resolution-dependent spectral variance, Proceedings of the IEEE, International Geoscience and Remote Sensing Symposium - IGARSS '04, Exploring and Managing a Changing Planet, Multi-Angular Optical Measurements, 7, Anchorage, Alaska, United States of America, pp. 4754-4757 (2004)

Mitchell, H.J.; Salvaggio, C., Effects of surface and internal water on the emissive spectral signatures of materials, Proceedings of the SPIE, SPIE AeroSense, Image Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, 5093, Orlando, Florida, United States of America, pp. 195-205, April (2003)

Mitchell, H.J.; Salvaggio, C.; Jellison, G.P.; Miller, C.J., Importance of background in the detection and identification of gas plumes using emissive infrared hyperspectral sensing, Proceedings of the SPIE, SPIE AeroSense, Image Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, 5093, Orlando, Florida, United States of America, pp. 206-217, April (2003)

Salvaggio, C.; Miller, C.J., Comparison of field and laboratory collected midwave and longwave infrared emissivity spectra/data reduction techniques, Proceedings of the SPIE, SPIE AeroSense, Image Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, 4381, Orlando, Florida, United States of America, pp. 549-558, April (2001)

Salvaggio, C.; Miller, C.J., Methodologies and protocols for the collection of midwave and longwave infrared emissivity spectra using a portable field spectrometer, Proceedings of the SPIE, SPIE AeroSense, Image Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, 4381, Orlando, Florida, United States of America, pp. 539-548, April (2001)

Mitchell, H.J.; Hemmer, T.H.; Lewis, P.E.; Salvaggio, C., The effects of temporally changing sources on Fourier transform spectrometers, Proceedings of the SPIE, SPIE AeroSense, Image Exploitation and Target Recognition, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, 4381, Orlando, Florida, United States of America, pp. 516-526, April (2001)

Schott, J.R.; Salvaggio, C.; Brown, S.D.; Rose, R.A., Incorporation of texture in multispectral synthetic image generation tools, Proceedings of the SPIE, SPIE AeroSense, Targets and Backgrounds: Characterization and Representation, Models and Generators, 2469, Orlando, Florida, United States of America, pp. 189-196, April (1995)

Mason, J.E.; Schott, J.R.; Salvaggio, C.; Sirianni, J.D., Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model, Proceedings of the SPIE, SPIE Annual Meeting, Infrared Measurements and Simulations, Infrared Technology XX, 2269, San Diego, California, United States of America, pp. 622-633, July (1994)

Mason, J.E.; Schott, J.R.; Salvaggio, C., Quality assessment of decompressed multispectral imagery, Proceedings of the IEEE, IEEE Mohawk Valley Section Annual Meeting, Dual-Use Technologies and Applications Conference, Rome, New York, United States of America, May (1994)

Salvaggio, C., Radiometric scene normalization utilizing statistically invariant features, Proceedings of the Workshop on Atmospheric Correction of Landsat Imagery, Torrance, California, United States of America, June (1993)

Salvaggio, C.; Sirianni, J.D.; Schott, J.R., Use of LOWTRAN derived atmospheric parameters in synthetic image generation models, Proceedings of the SPIE, SPIE AeroSense, Remote Sensing: Scene and Sensor Simulation II, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, 1938, Orlando, Florida, United States of America, pp. 294-307, April (1993)

Rankin, D.K.; Salvaggio, C.; Gallagher, T.W.; Schott, J.R., Instrumentation and procedures for validation of synthetic IR image generation models, Proceedings of the SPIE, SPIE Annual Meeting, Infrared Measurements and Simulations, Infrared Technology XVIII, 1762, San Diego, California, United States of America, pp. 584-600, July (1992)

Schott, J.R.; Raqueno, R.V.; Salvaggio, C.; Kraus, E.J., Incorporation of time-dependent thermodynamic models and radiation propagation models into IR 3-D synthetic image generation models, Proceedings of the SPIE, SPIE Annual Meeting, Simulation and Testing, Infrared Technology XVII, 1540, San Diego, California, United States of America, pp. 533-549, July (1991)

Shor, E.H.; Salvaggio, C.; Schott, J.R., Three-dimensional longwave infrared (LWIR) synthetic image generation incorporating angular emissivity effects using ray-tracing techniques, Proceedings of the SPIE, SPIE Annual Meeting, Thermal Imaging and Simulation, Infrared Technology XVI, 1341, San Diego, California, United States of America, pp. 68-79, July (1990)

Salvaggio, C.; Szemkow, P.J., Generation of high resolution hybrid multi-band imagery from existing high resolution panchromatic and low resolution multispectral images, Proceedings of the ASPRS/ACSM, ASPRS, Cleveland, Ohio, United States of America, September (1989)

Salvaggio, C.; Schott, J.R., Laboratory techniques for assessment of longwave infrared radiometric models for synthetic scene generation, Proceedings of the SPIE, SPIE Annual Meeting, Infrared Technology XV, 1157, San Diego, California, United States of America, August (1989)

Salvaggio, C.; Schott, J.R., Enhanced display of thermal infrared image data using HIS coding, Proceedings of the SPIE, SPIE Electronic Imaging, Boston, Massachusetts, United States of America, October (1988)

Salvaggio, C.; Schott, J.R., Automated segmentation of pseudoinvariant features from multispectral imagery, Proceedings of the SPIE, SPIE, Three-Dimensional Imaging and Remote Sensing Imaging, 902, Los Angeles, California, United States of America, January (1988)

Schott, J.R.; Salvaggio, C., Inclusion of sensor noise in radiometric models for generation of synthetic longwave infrared images, Proceedings of the SPIE, SPIE Annual Meeting, Infrared Technology XIII, 819, San Diego, California, United States of America, August (1987)




TECHNICAL REPORTS

Brown, S.D.; Salvaggio, C., DIRSIG LIDAR Capabilities, prepared for LaSen, Incorporated, RIT/DIRS Report 03/04-71-164, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, November (2004)

Schott, J.R.; Mason, J.E.; Salvaggio, C.; Sirianni, J.D.; Rose, R.A.; Kulp, E.O.; Rankin, D.K., DIRSIG - Digital imaging and remote sensing image generation model: Description, enhancements and validation, prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 90/91-51-146, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, July (1993)

Schott, J.R.; Salvaggio, C., MODTRAN version of the DIRSIG software, prepared for Eastman Kodak Company (Federal Systems Division), SIDE Report 92-51-101, SIDE, Rochester, New York, United States of America, December (1992)

Salvaggio, C.; Braun, G.J.; Heath, M.D.; Schott, J.R., Multi/hyperspectral resolution enhancement, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 91/92-63-144, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, December (1991)

Raqueno, R.V.; Salvaggio, C.; Warnick, J.S.; Kraus, E.J.; Schott, J.R., A thermal infrared synthetic image generation model, prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 90/91-63-142, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, April (1991)

Salvaggio, C.; Braun, G.J.; Schott, J.R., SVGM - A spectral vector generating model using the LOWTRAN 7 and SCATRAN atmospheric propagation codes, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 90/91-63-141, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, January (1991)

Schott, J.R.; Brower, B.V.; Bhaskar, R.; Raqueno, R.V.; Salvaggio, C., Measurement of the optical properties of materials related to ship signatures, prepared for Naval Research Laboratory, RIT/DIRS Report 90/91-51-140, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, November (1990)

Salvaggio, C.; Robert, D.J.; Schott, J.R., Generation of textural features from monochromatic imagery for land cover classification, prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 89/90-63-130, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1990)

Schott, J.R.; Salvaggio, C.; Frey, E.G., Change detection using pseudoinvariant feature (PIF) normalization, prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 89/90-51-137, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1990)

Salvaggio, C.; Schott, J.R., Development of a pseudoinvariant features normalization transform for high resolution imagery, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 89/90-63-138, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1990)

Rosenblum, W.I.; Salvaggio, C.; Schott, J.R., Selection of optimal textural features for maximum likelihood classification, prepared for United States Department of Energy, RIT/DIRS Report 89/90-66-131, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, January (1990)

Schott, J.R.; Salvaggio, C.; Francis, J.W., Correction of atmospheric inhomogeneities in visible wavelength imagery, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 88/89-51-125, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1989)

Warnick, J.S.; Davis, T.; Salvaggio, C.; Schott, J.R., The merging of multi-date multi-sensor multi-resolution images for enhanced image analysis, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 88/89-51-127, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1989)

Schott, J.R.; Salvaggio, C., L.W.I.R. radiometric modeling for use with synthetic scene generation, 1987/88 Results - Final report for contract RD-86-6843 (Task 3), prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 87/88-51-122, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, January (1989)

Salvaggio, C.; Schott, J.R., Automated pseudoinvariant feature normalization and land cover classification - Final report for contract RD-86-6843 (Task 2), prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 87/88-63-123, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America (1989)

Salvaggio, C.; Rosen, M.R.; Kraus, E.J.; Warnick, J.S.; Schott, J.R., Techniques for digital image processing and display with emphasis on color concepts, prepared for Digital Equipment Corporation, RIT/DIRS Report 88/89-63-118, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, August (1988)

Schott, J.R.; Kraus, E.J.; Salvaggio, C., Optimum spectral band selection, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 88/89-51-117, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, July (1988)

Salvaggio, C.; Frey, E.G.; Schott, J.R., Measurement of reflectance spectra from 0.4 to 2.6 microns using the Beckman DK-2A spectrophotometer, prepared for Autometric Corporation, RIT/DIRS Report 87-63-116, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, September (1987)

Salvaggio, C.; Schott, J.R., Automated registration of SPOT Level 1B imagery to U.S.G.S. topographic map data, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 86/87-63-115, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, May (1987)

Schott, J.R.; Salvaggio, C., L.W.I.R. radiometric modeling for use with synthetic scene generation - Final report for contract RD-86-6843 (Task 3), prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 86/87-51-114, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, February (1987)

Schott, J.R.; Salvaggio, C., Radiometric scene normalization using pseudoinvariant features - Final report for contract RD-86-6843 (Task 2), prepared for Central Intelligence Agency, Office of Development and Engineering, RIT/DIRS Report 86/87-51-113, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, January (1987)

Salvaggio, C.; Brower, B.V.; Schott, J.R., A comparative analysis of the Syracuse University steam line distribution system (1984 to 1986), prepared for Syracuse University Facilities Planning Department, RIT/DIRS Report 86/87-63-111, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States of America, June (1986)




BOOK CHAPTERS

Messinger, D.W.; Salvaggio, C.; Sinisgalli, N.M., Detection of gaseous effluents from airborne LWIR hyperspectral imagery using physics-based signatures, Spectral Sensing Research for Water Monitoring Applications and Frontier Science and Frontier Science, and Technology for Chemical, Biological and Radiological Defense, 1st Edition, Dwight Woolard and Janet Jensen, World Scientific Publishing Company, 48, Selected Topics in Electronics and Systems, Hackensack, New Jersey, United States (2008)

Salvaggio, C., Photometry, Radiometry, and Measurement, Focal Encyclopedia of Photography, 4th Edition, Elsevier, Burlington, Massachusetts, United States of America (2007)




CONFERENCE PRESENTATION (NO PROCEEDINGS)

Nilosek, D.R.; Walli, K.C.; Salvaggio, C.; Schott, J.R., AeroSynth: Aerial scene synthesis from images, SIGGRAPH 2009, 36th International Conference and Exhibition on Computer Graphics and Interactive Techniques, New Orleans, Louisiana, United States, July (2009)

Paul, S.E.; Nilosek, D.R.; Messinger, D.W.; Salvaggio, C., Derivation of radiometric temperature for sub-pixel targets from thermal infrared imagery using three-dimensional physical modeling techniques, University and Industry Technical Interchange Review Meeting, UITI 2008, Park City, Utah, United States, December (2008)

Raqueno, R.V.; Salvaggio, C., The practicals of grid computing with ENVI/IDL: Case studies in high throughput computing (HTC) using Condor and ENVI/IDL for physics-based remote sensing algorithms and applications, ENVI User Symposium (ENVIUS 2008), Chantilly, Virginia, United States of America, May (2008)

Salvaggio, C.; Smith, L.E., Laboratory and field spectral signature measurement capabilities and protocols at the Rochester Institute of Technology, Intelligence Technology Innovation Center, Reference Spectral Signatures Conference, Vienna, Virginia, United States of America, May (2006)

Arsenovic, M.V.; Salvaggio, C.; Ruhren, T., Selective degradation of aerial photography for homeland security, 2005 ASPRS Annual Conference, Geospatial Goes Global: From Your Neighborhood to the Whole Planet, Data Processing and Techniques, Techniques for Improvement of Image Accuracy, Baltimore, Maryland, United States of America, March (2005)

Salvaggio, C., The effect of Air Force global weather quality on exploitation models, IntelMet '98, Colorado Springs, Colorado, United States of America, February (1998)

Schott, J.R.; Salvaggio, C.; Mason, J.E., Radiation propagation modeling and target-to-background interaction effects in synthetic imagery, Michigan Technological University, Annual Ground Target Modeling and Validation Conference, Houghton, Michigan, United States of America, August (1993)

Salvaggio, C., Multispectral synthetic scene generation, E-Systems College Relations Technology Exchange Seminar, Dallas, Texas, United States of America, July (1993)

Salvaggio, C., Generation of synthetic images with radiometric fidelity in the midwave infrared (MWIR) and longwave infrared (LWIR), IEEE Mohawk Valley Section Annual Meeting, Dual-Use Technologies and Applications Conference, Rome, New York, United States of America, May (1993)

Salvaggio, C., A proposed method for automated update of GIS information using aerial or satellite imagery, Rochester Regional Geographical Information Systems Special Interest Group, Rochester, New York, United States of America, February (1990)

Salvaggio, C., Sensor fusion techniques to produce high resolution thermal imagery from commercially available satellite data, Rochester Region Geographical Information Systems Special Interest Group, Rochester, New York, United States of America, February (1990)

Schott, J.R.; Salvaggio, C.; Hawes, T.A., Multidate land cover classification using radiometric normalization techniques, SPSE Annual Conference and Symposium, Image Processing, Boston, Massachusetts, United States of America, May (1989)

Salvaggio, C.; Schott, J.R.; Volchok, W.J., Radiometric scene normalization using pseudoinvariant features, SPSE Annual Conference and Symposium, Hybrid Imaging Systems, Rochester, New York, United States of America, May (1987)



PAPERS SUBMITTED / IN PREPARATION


Weith-Glushko, S.A.; Walli, K.C.; Salvaggio, C., Automatic tie point selection using the Laplacian of Gaussian (LoG) spatial filter, Submitted for publication in the SPIE Journal of Applied Remote Sensing (2008)

Boonmee, M.; Schott, J.R.; Messinger, D.W.; Salvaggio, C., Validation and sensitivity analysis of the Optimized Land Surface Temperature and Emissivity Retrieval (OLSTER) algorithm using thermal infrared hyperspectral imagery, Submitted for publication in Sensors (2007)

Hattenberger, T.J.; Fairchild, M.D.; Johnson, G.M.; Salvaggio, C., A psychophysical investigation of global illumination algorithms used in augmented reality, Accepted for publication in ACM Transactions on Applied Perception (2007)





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* Carl Salvaggio currently has 84 total publications (with 3 in review/preparation)