CARL SALVAGGIO, Ph.D.ProfessorIn the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology, I am a member of the Digital Imaging and Remote Sensing Laboratory teaching and conducting research in, as the name might imply, digital image processing, remote sensing, and programming. My particular research interests lie in numerous areas including thermal infrared phenomenology, exploitation, and simulation; design and implementation of novel imaging and ground-based measurement systems; three-dimensional geometry extraction from multi-view imagery; material optical properties measurement and modeling; and still and motion image processing for various applications. Additionally, I currently hold the position of Undergraduate Program and Minor Coordinator in the Chester F. Carlson Center for Imaging Science. |
|
| CURRENT ACTIVE FUNDING: | $2,795,914 (7 projects) |
| CUMULATIVE FUNDING TO DATE: | $5,385,387 (20 projects) |
ALTA Latern Imaging Module
Alta Pix Incorporated (ALTA) is producing a lighter-than-air platform to be used in the collection of low-altitude aerial photography by individual "Alta Drifters" around the world. These "drifters" are expected to be individual hobbyists, corporations, and military personnel. Platform altitudes are expected to be between 50 and 200 feet above ground level (AGL) enabling extremely high-resolution imagery to be collected with low-cost equipment. The low cost and ease of use will enable membership and participation as a "drifter" by anyone wishing to become part of this community of imagery providers over areas of interest worldwide.
The scope of the RIT research is to develop a one-to-multiple camera module, capable of collecting and storing full resolution imagery on-board, while delivering low-resolution "scout" mode imagery to a web-accessible server in near real-time utilizing existing 3G cellular data networks available in most major population centers. The system will collect geolocation information and heading using GPS and imaging module attitude using on-board gyroscopes/accelerometers for each image collected.
| RIT Project Number: | 36742 |
| Funding: | $99,020 |
| Period of Performance: | August 1, 2011 to July 31, 2012 |
3D Geometry Models from WAAS Data
The intent of this work is to extend current automated 3D point cloud extraction techniques on large format Wide Area Airborne System (WAAS) data sets. ITT will provide RIT with example visible and IR WAAS data of downtown Rochester, NY. ITT will also provide support in the understanding and processing of the WAAS data such as position/orientation data and image file formats. Under this contract, RIT will provide ITT software and resulting process workflows for the automatic creation of 3D point clouds. In addition, fusion of the 3D point cloud data with the high temporal WAAS data, both visible (panchromatic) and infrared will be accomplished with the intent of creating a value added product to the data for ITT.
| RIT Project Number: | C1176 |
| Funding: | $160,000 |
| Period of Performance: | June 1, 2011 to May 31, 2012 |
NSF REU: Imaging in the Physical Sciences
The National Science Foundation (NSF) Research Experiences for Undergraduates (REU) program, Imaging in the Physical Sciences (IPS), will introduce young scientists to research in a highly interdisciplinary environment, where cross-disciplinary team problem solving is the norm. The IPS REU has the following seven specific goals: (i) involve undergraduates from a wide range of host institution type, gender, and ethnicities in a coherent and extendable (multi-year) research experience, starting after their freshman or sophomore years; (ii) involve undergraduates originating from a specific science or engineering major in a highly interdisciplinary research environment, engaging them to work in teams across traditional disciplinary boundaries in problem-based research; (iii) expose students to the emerging field of imaging science and its many and varied application areas; (iv) encourage students to pursue graduate studies in STEM; (v) assist students in the dissemination of their research; (vi) create an ongoing research incubator environment for the students, including feedback from advisory scientist external to RIT, mentoring in public speaking, scientific writing, and social engagement; (vii) assess the implementation and impact of our REU program.
| RIT Project Number: | 31120 |
| Funding: | $220,000 |
| Period of Performance: | April 1, 2011 to October 1, 2014 |
The Detection of Anamalous Vehicle Loading Using Remote Sensing Techniques
In a scenario where nuclear fuel rods are being transported in a shielded transport truck concealed as a commercial vehicle, there may be several remotely detectable signatures. Assuming that payload and shielding material would result in an anomalous increase in the overall vehicle weight, increased frictional forces on the vehicle braking mechanism will result. These increased forces would elevate temperature differences relative to other vehicle components which would be greater than those for vehicles with a standard load. In addition, an overloaded vehicle will exhibit a decreased rate of acceleration and increased diesel exhaust when starting from a stopped position and increased acoustics from engine braking while decelerating at an upcoming traffic control signal. These observables could be indirect indicators of clandestine trafficking of nuclear material.
As a detection mechanism, thermal infrared remote sensing techniques may be used from a stationary position near a traffic-controlled intersection. With knowledge of meteorological conditions at the surveilled site, relative temperature differences between the braking hub, the tire sidewall, and other portions of the vehicle can be used as indicators that the vehicle is under unusual stress due to load. A second observable is the rate of acceleration of a previously flagged suspicious vehicle. This might confirm that the vehicle is indeed carrying a heavier than normal load when compared to historical traffic at that same intersection. Diesel exhaust plume density/size may provide a third observable that may be detected with a traditional visible imaging system or the previously described thermal infrared system. Third, an acoustical sensor and traditional frequency-domain processing techniques may be able to identify vehicles exhibiting anomalous engine braking patterns due to the increased vehicle load.
| RIT Project Number: | 31057 |
| Funding: | $600,183 |
| Period of Performance: | September 28, 2010 to May 30, 2013 |
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:
| RIT Project Number: | 30958 |
| Funding: | $700,000 |
| Period of Performance: | September 19, 2008 to September 18, 2012 |
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 |
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: | $359,960 |
| Period of Performance: | September 4, 2008 to April 20, 2012 |
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 September 30, 2011 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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:
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:
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:
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:
As the Undergraduate Program Coordinator for the Chester F. Carlson Center for Imaging Science, I have helped to coordinate and oversee numerous transitions in our curriculum to better align the flow of learning that occurs and to make sure that our students are ready to move on to the next challenges that they face in their coursework. Specific changes made include the evolution to our current third year curriculum that includes both a series of classes aimed and systems analysis/design in the Color Science, Modulation Transfer Function, and Noise and Random Processes classes along with a complementary year-long laboratory sequence entitled Imaging Science Laboratory that concentrates on pixels, spatial, and multidimensional aspects of the imaging chain. Understanding the need for a stronger mathematical preparation of our students for classes such as Physical Optics, Digital Image Processing, Modulation Transfer Function, and Noise and Random Processes, room was made in the schedule to add a follow-on class to our Linear Algebra & Fourier Mathematics for Imaging Science entitled Mathematical Methods for Imaging Science and a department-taught version of Probability and Statistics class with a strong focus on fundamental statistical concepts with relevant applications to imaging-related problems. The Senior Project class is once again a required part of all or our undergraduates' education which is one of the many things that distinguish them from other undergraduate students in related fields, demonstrating their ability to conduct an independent investigation. All of these modifications to the curriculum go back to a fundamental premise of strong mathematical preparation along with capable laboratory skills, including the development of strong written, oral, and technology-based presentation skills. Most recently, the reincorporation of our first year students as active participants in our Center was a primary goal. This has been accomplished by the design of a remarkable new program that is referred to as the First-Year Imaging Project that takes our entering students through a self-discovering experience where they are tasked with building an imaging system. The skills that they need along the way are obtained on their own with the assistance of, potentially, the entire faculty of the Center. This project is open to students across the campus and will hopefully serve as an introduction of what we do to not only our own students but those in other programs and colleges across the Institute.
In this role I have also served to help recruiting for the Center at most of the undergraduate admissions open houses, transfer students open houses, summer orientation programs, individualized tours for prospective students, general (undecided) program presentations for multiple colleges, and numerous high school recruiting events on behalf of the Center. I have also worked with Monroe Community College to expand our articulation agreement from the traditional feeder program in Optics, to include their programs in Engineering Science, Computational Science, as well as Liberal Arts-Science.
In 2006, I had the opportunity to work with the College of Imaging Arts and Science to develop a "co-dependent" program in Digital Cinema that required students to take half of their core coursework in the Center. This formed the groundwork for a potential great collaboration between the two colleges in producing a very capable "hybrid" student that develops both their scientific and artistic persona to create a new type of graduate available to the motion picture industry.
Along the line of the development of "hybrid" students, I made a big push at the Institute level to develop official double majors between Imaging Science and several programs including Computer Science, Physics, Biological Sciences, Applied Mathemeatics, Imaging and Photographic Technology, and Management Information Science. While these are not yet officially listed in the course catalogs due to our current transition to semesters, many of these double majors now have students actively pursuing these challenging combinations.
In 2010, during the Institute's planned transition from the quarter system to the semester system, I was responsible for assembling and putting forward the plan for the Center's undergraduate program. This included working with the administration to understand the design considerations that were being actively developed by the administrative committees charged with the task of deciding what an RIT semester-based education would look like and make sure that we, as the first program in the Institute to come up for approval, would meet these requirements.
Logistically, I have also been responsible for handling all aspects of student processing through the system including degree certifications, handling of senior project delivery requirements, administration of any academic disciplinary actions that have needed to occur, reporting to our administration and advisory board, and even the arrangement of our annual senior celebration prior to graduation.
I had the pleasure of designing the minor in Imaging Science as well as getting it approved at the Institute level. Annually I handle the administration of this program by enrolling individual students in the minor with a concentration that best meets their interests and goals, tracking each of their progress in meeting these requirements, and finally in the certification of their minor when they have finished with their coursework.
Resulted in the successful recruiting of Dr. Jinwei Gu.
Resulted in the successful recruiting of Ricardo Figueroa.
Resulted in the successful recruiting of Paul Mezzanini.
Resulted in the successful recruiting of Brett Matzke.
Resulted in the successful recruiting of Dr. Gurcharan Khanna.
Resulted in the successful recruiting of Dr. Stefi Baum.
![]() |
| 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) |
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
van Aardt, J.A.; McKeown, D.; Faulring, J.W.; Raqueno, N.G.; Casterline, M.V.; Renschler, C.; Eguchi, R.; Messinger, D.W.; Krzaczek, R.; Cavillia, S.; Antalovich, J.; Philips, N.; Bartlett, B.D.; Salvaggio, C.; Ontiveros, E.M.; Gill, S., Geospatial disaster response during the Haiti earthquake: A case study spanning airborne deployment, data collection, transfer, processing, and dissemination, Photogrammetric Engineering and Remote Sensing, 77, 9, pp. 943-952 (2011)
Nilosek, D.R.; Salvaggio, C., Applying computer vision techniques to perform semi-automated analytical photogrammetry, IEEE Xplore, pp. 1-5 (2010)
Bartlett, B.D.; Gartley, M.G.; Messinger, D.W.; Salvaggio, C.; Schott, J.R., Spectro-polarimetric bidirectional reflectance distribution function determination of in-scene materials and its use in target detection applications, Journal of Applied Remote Sensing, 4, 043552, pp. 1-21 (2010)
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 pseudo-invariant features, Remote Sensing of Environment, 26, 1, pp. 1-16 (1988)
REFEREED 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)
CONFERENCE PROCEEDINGS
Paul, S.E.; Salvaggio, C., A polynomial regression approach to subpixel temperature extraction from a single-band thermal infrared image, Proceeding of SPIE, SPIE Defense and Security, Thermosense XXXIII, Thermal Infrared Applications, 8013, Orlando, Florida, United States, April (2011)
Bartlett, B.D.; Schlamm, A.; Salvaggio, C.; Messinger, D.W., Anomaly detection of man-made objects using spectro-polarimetric imagery, Proceeding of SPIE, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII, Spectral Data Analysis Methodologies I, 8048, Orlando, Florida, United States (2011)
Bartlett, B.D.; Faulring, J.W.; Salvaggio, C., System characterization and analysis of the multispectral aerial passive polarimeter system (MAPPS), Proceedings of the SPIE, SPIE Optics and Photonics, Polarization Science and Remote Sensing V, 8160, San Diego, California, United States (2011)
Garrett, A.J.; Salvaggio, C.; Casterline, M.V., Thermodynamics of partially frozen cooling lakes, Proceedings of SPIE, SPIE Defense and Security, Thermosense XXXII, Utilities and Fluid Dynamics, 7661, 2, Orlando, Florida, United States, April (2010)
Casterline, M.V.; Salvaggio, C.; Garrett, A.J.; Faulring, J.W.; Bartlett, B.D.; Salvaggio, P.S., Improved temperature retrieval methods for the validation of a hydrodynamic simulation of a partially frozen power plant cooling lake, Proceedings of SPIE, SPIE Defense and Security, Thermosense XXXII, Utilities and Fluid Dynamics, 7661, Orlando, Florida, United States, April (2010)
Paul, S.E.; Goodenough, A.A.; Brown, S.D.; Salvaggio, C., Sub-pixel radiometry: A three-part study in generating synthetic imagery that incorporates sub-pixel variation, Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Modeling and Simulation, 7695, Orlando, Florida, United States, April (2010)
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, 74610T, San Diego, California, United States, 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)
Raqueno, R.V.; Kremens, R.L.; Montanaro, M.; Salvaggio, C.; Gelein, R., Humidity effects on thermal atmospheric transmission: Study of potential effects of small hygroscopic aerosol particles in the longwave infrared region, Geoscience and Remote Sensing Symposium, IGARSS 2008, 4, Boston, Massachusetts, United States, pp. 1391-1394, July (2008)
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, March (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, March (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)
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, 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)
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, September (2004)
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)
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)
Schott, J.R.; Salvaggio, C.; Mason, J.E., Radiation propagation modeling and target-to-background interaction effects in synthetic imagery generation, Proceedings of the Ground Target Modeling and Validation Conference, Ground Target Modeling and Validation, Ground Target Modeling and Validation Conference, Houghton, Michigan, United States, August (1993)
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 infrared image generation (SIG) 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)
Schott, J.R.; Salvaggio, C.; Hawes, T.A., Multidate land cover classification using radiometric normalization techniques, Proceedings of the SPSE Annual Conference and Symposium, SPSE, Image Processing, Boston, Massachusetts, United States, May (1989)
Salvaggio, C.; Schott, J.R., Enhanced display of thermal infrared image data using HIS coding, Proceedings of the SPIE, SPIE Electronic Imaging, International Imaging Exposition and Conference, Boston, Massachusetts, United States of America, October (1988)
Salvaggio, C.; Schott, J.R., Automated segmentation of pseudo-invariant features from multispectral imagery, Proceedings of the SPIE, SPIE, Three-Dimensional Imaging and Remote Sensing Imaging, 902, Los Angeles, California, United States of America, pp. 118-127, 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, pp. 42-54, 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)
Salvaggio, C.; Schott, J.R., MUSIQUE multispectral texture, prepared for Eastman Kodak Company (Federal Systems Division), SIDE Report 93-63-104, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing, Rochester, New York, United States, October (1993)
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, Office of Development and Engineering, RIT/DIRS Report 92/93-51-146, 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, contract no. Central Intelligence Agency, Office of Development and Engineering, 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, December (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)
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, April (1989)
Schott, J.R.; Salvaggio, C., LWIR radiometric modeling for use with synthetic scene generation, 1987/88 Results , 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 pseudo-invariant feature normalization and land cover classification, prepared for Central Intelligence Agency, Office of Development and Engineering, Final 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, January (1989)
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, January (1989)
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.; 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, May (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 1R imagery to USGS 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., LWIR radiometric modeling for use with synthetic scene generation , 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, 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)
OTHER
Salvaggio, C., What is inside a JPEG file?, (2009)
CONFERENCE PRESENTATION (NO PROCEEDINGS)
Salvaggio, C.; Raqueno, R.V.; Scott, A.R.; Youkhana, P.Y., Accurate radiometric temperature measurements using thermal infrared imagery of small targets, physics-based modeling, and companion high-resolution optical image data sets, University and Industry Technical Interchange Review Meeting, UITI 2010, Plenary Session, Knoxville, Tennessee, United States, December (2010)
Nilosek, D.R.; Paul, S.E.; Forrest, C.J.; Salvaggio, C., High resolution 3D model extraction from multiple view imagery for use with physical modeling, University and Industry Technical Interchange Review Meeting, UITI 2009, Simulation and Modeling, Clearwater Beach, Florida, United States, December (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, Fourth 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)
Schott, J.R.; Salvaggio, C., Generation of synthetic images with high radiometric fidelity in the midwave infrared (MWIR) and longwave infrared (LWIR), Rome Air Development Center, Dual-Use Technologies and Applications Conference, Rome, New York, United States, 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., Radiometric scene normalization using pseudoinvariant features, SPSE, SPSE Annual Conference and Symposium, Hybrid Imaging Systems, Rochester, New York, United States, May (1987)
POSTERS
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)