Emmett Ientilucci

Emmett Ientilucci's picture

Research Details

Research Interests
  • Remote Sensing
  • Hyperspectral Image Processing
  • Multivariate Statistics
  • Target Detection
  • Radiometry

Personal Information

Contact Information
Location: 76-3132
Office: (585)475-7778
Fax: (585)475-5988
Email: emmett@cis.rit.edu

54 Lomb Memorial Drive
Rochester, NY 14623
Title and Degrees
Research Professor
A.A.S., B.S., M.S., Ph.D.

Publications

BOOKS

    Ientilucci, E.J.; Schott, J.R., Radiometry and Radiation Propagation, 1st Edition, Oxford University Press, In progress., Rochester, New York, United States (2011)


THESES

    Ientilucci, E.J., Hyperspectral Sub-Pixel Target Detection Using Hybrid Algorithms and Physics Based Modeling, Ph.D. Dissertation, Rochester Institute of Technology, College of Science, Center for Imaging Science, Rochester, New York, United States, December (2005)

    Ientilucci, E.J., Synthetic Simulation and Modeling of Image Intensified CCD's (ICCD), M.S. Thesis, Rochester Institute of Technology, College of Science, Center for Imaging Science, Rochester, New York, United States, March (2000)


REFEREED JOURNAL ARTICLES

    McGlinchy, J.; van Aardt, J.A.; Erasmus, B.F.; Asner, G.P.; Mathieu, R.; Wessels, K.; Knapp, D.; Kennedy-Bowdoin, T.; Rhody, H.E.; Kerekes, J.P.; Ientilucci, E.J.; Wu, J.; Sarrazin, D.; Cawse-Nicholson, K.A., Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 7, 2, pp. 480-490 (2014)

    Matteoli, S.; Ientilucci, E.J.; Kerekes, J.P., Operational and performance considerations of radiative transfer modeling in hyperspectral target detection, IEEE Transactions on Geoscience and Remote Sensing , 49, 4, pp. 1343-1355 (2011)

    Ientilucci, E.J.; Bajorski, P., Hyperspectral target detection in a whitened space utilizing forward modeling concepts, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 1, 2 (2010)

    Ientilucci, E.J.; Bajorski, P., Stochastic Modeling of Physically Derived Signature Spaces, Journal of Applied Remote Sensing, 2, 023532 (2008)


REFEREED CONFERENCE PROCEEDINGS

    Matteoli, S.; Ientilucci, E.J.; Kerekes, J.P., Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data, Proceedings of the 1st Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, IEEE, Grenoble, France, August (2009)

    Matteoli, S.; Ientilucci, E.J.; Kerekes, J.P., Forward modeling and atmospheric compensation in hyperspectral data: Experimental analysis from a target detection perspective, Proceedings of the 1st Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, IEEE, Grenoble, France, August (2009)

    Ientilucci, E.J.; Bajorski, P., Statistical Models for Physically Derived Target Sub-Spaces, Proceedings of SPIE, Imaging Spectrometry XI, 6302, San Diego, California, United States, August (2006)


CONFERENCE PROCEEDINGS

    Ientilucci, E.J., Using a new GUI tool to leverage Lidar data to aid in hyperspectral image material detection in the radiance domain on RIT SHARE LiDAR/HSI Data, Imaging Spectrometry XVIII, SPIE, Imaging Spectrometry XVIII, 8870, San Diego, California, United States, August (2013)

    Albano, J.A.; Messinger, D.W.; Ientilucci, E.J., Spectral target detection using a physical model and a manifold learning technique, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 8743, Baltimore, Maryland, United States, May (2013)

    Giannandrea, A.; Raqueno, N.G.; Messinger, D.W.; Faulring, J.W.; Kerekes, J.P.; van Aardt, J.A.; Canham, K.; Hagstrom, S.; Ontiveros, E.M.; Gerace, A.D.; Kaufman, J.; Vongsy, K.; Griffith, H.; Bartlett, B.D.; Ientilucci, E.J.; Meola, J.; Scarff, L.; Daniel, B.J., The SHARE 2012 Data Campaign, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Defense, Sensing, and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, SPIE Vol. 8743, 87430F, Baltimore, Maryland, United States, April (2013)

    Ientilucci, E.J., Spectral target detection using a physical model and a manifold learning technique, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 8743, Baltimore, Maryland, United States (2013)

    Ientilucci, E.J., SHARE 2012: Analysis of illumination differences on targets in hyperspectral imagery, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 8743, Baltimore, Maryland, United States (2013)

    Herweg, J.; Kerekes, J.P.; Weatherbee, O.; Messinger, D.W.; van Aardt, J.A.; Ientilucci, E.J.; Ninkov, Z.; Faulring, J.W.; Raqueno, N.G.; Meola, J., SpecTIR Hyperspectral Airborne Rochester Experiment Data Collection Campaign, Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Defense, Sensing, and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 8390, 839028, Baltimore, Maryland, United States, April (2012)

    Ientilucci, E.J., Leveraging LiDAR data to aid in hyperspectral image target detection in the radiance domain, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Multisensor Data Fusion I, 8390, Baltimore, Maryland, United States, April (2012)

    Basener, W.; Schlamm, A.; Messinger, D.W.; Ientilucci, E.J., A detection identification process with geometric target detection and subpixel spectral visualization, Workshop on Hyperspectral Image and Signal Processing – Evolution in Remote Sensing, WHISPERS, WHISPERS 2011, HYPERSPECTRAL METHODS FOR DIFFICULT TARGET DETEDTION(2), Lisbon, Lisboa, Portugal, June (2011)

    Herweg, J.; Kerekes, J.P.; Ientilucci, E.J.; Eismann, M., Spectral Variations in HSI Signatures of Thin Fabrics for Detecting and Tracking of Pedestrians, Active and Passive Signatures II, Defense and Security Symposium, Active and Passive Signatures II, 8040, Orlando, Florida, United States, pp. 8040G-, April (2011)

    McGlinchy, J.; van Aardt, J.A.; Rhody, H.E.; Kerekes, J.P.; Ientilucci, E.J.; Asner, G.P.; Knapp, D.; Mathieu, R.; Kennedy-Bowdoin, T.; Erasmus, B.F.; Wessels, K.; Smit, I.P.; Wu, J.; Sarrazin, D., Extracting Structural Land Cover Components using Small--footprint Waveform Lidar Data, Proceedings of 2010 IEEE International Geoscience & Remote Sensing Symposium, IEEE, IGARSS, Honolulu, Hawaii, USA, July (2010)

    Gillis, D.; Bowles, J.; Ientilucci, E.J., Results of GLMM-based target detection on the RIT data set, Defense and Security Symposium, Defense and Security, Orlando, Florida, United States, April (2010)

    Matteoli, S.; Ientilucci, E.J.; Kerekes, J.P., Characterization of Physics-based Radiative Transfer Modeling Parameters for a Blind Test Airborne Hyperspectral Data Set, Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 7695, Orlando, Florida, United States, April (2010)

    Gillis, D.; Bowles, J.; Ientilucci, E.J., A generalized linear mixing model for hyperspectral imagery, SPIE, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, South Africa, July (2009)

    Ientilucci, E.J.; Gartley, M.G., Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery, Proceedings of the SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 7334, Orlando, Florida, United States, April (2009)

    Ientilucci, E.J.; Matteoli, S.; Kerekes, J.P., Tracking of vehicles across multiple radiance and reflectance hyperspectral datasets, Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 7334, Orlando, Florida, United States, April (2009)

    Ientilucci, E.J.; Matteoli, S.; Kerekes, J.P., Tracking of Vehicles Across Multiple Radiance and Reflectance Hyperspectral Datasets, Proceedings of Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, SPIE, 7334, DOI: 10.1117/12.820348 (2009)

    Bishoff, J.; Messinger, D.W.; Ientilucci, E.J., Oblique Hyperspectral Target Detection, Proceedings of SPIE, SPIE Optic and Photonics, Imaging Spectrometry XIII, 7086, San Diego, California, United States, August (2008)

    Gillis, D.; Bowles, J.; Ientilucci, E.J.; Messinger, D.W., A generalized linear mixing model for hyperspectral imagery, Proceedings of SPIE, Defense and Security Symposium, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 6966, Orlando, Florida, United States, April (2008)

    Gillis, D.; Bowles, J.; Ientilucci, E.J., Linear Unmixing using Endmember Subspaces and Physics Based Modeling, Proceedings of the SPIE, SPIE Annual Meeting, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 6651, San Diego, California, United States, August (2007)

    Basener, B.; Ientilucci, E.J.; Messinger, D.W., Anomaly Detection using Topology, Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 6565, Orlando, Florida, United States, April (2007)

    Ientilucci, E.J.; Bajorski, P., Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery, Proceedings of SPIE, SPIE Optic and Photonics, Imaging Spectrometry XI, Imaging Spectrometry XI, 6302, San Diego, Los Angeles, United States, August (2006)

    Ientilucci, E.J., Statistical Models for Physically Derived Target Sub-Spaces, Proceedings of the SPIE, SPIE Annual Meeting, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 6302, San Diego, California, United States, August (2006)

    Ientilucci, E.J., Two Dimensional Decision Spaces Generated from Physics Based Target Detection as Applied to Hyperspectral Imagery, Proceedings of the IS&T, IS&T, International Congress of Imaging Science, Rochester, New York, United States, pp. 306-309, May (2006)

    Ientilucci, E.J.; Schott, J.R., Physics Based Target Detection Using a Hybrid Algorithm With an Infeasibility Metric, Proceedings of the IEEE, IEEE, International Conference on Acoustics, Speech and Signal Processing, 5, Toulouse, Centre, France, pp. 1193-1196, May (2006)

    Ientilucci, E.J.; Schott, J.R., Target detection in a structured background environment using an infeasibility metric in an invariant space, Proceedings of the SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Detection and Identification II, 5806, Orlando, Florida, United States, pp. 491-502, March (2005)

    West, J.E.; Messinger, D.W.; Ientilucci, E.J.; Kerekes, J.P.; Schott, J.R., Matched filter stochastic background characterization for hyperspectral target detection, Proceedings of SPIE, SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Detection and Identification I, 5806, Orlando, Florida, United States, pp. 1-12, March (2005)

    Bajorski, P.; Ientilucci, E.J.; Schott, J.R., Geometric Basis-Vector Selection Methods and Subpixel Target Detection As Applied to Hyperspectral Imagery, International Geoscience and Remote Sensing Symposium - IGARSS '04, International Geoscience and Remote Sensing Symposium (IGARSS) 2004, Anchorage, Alaska, United States, September (2004)

    Brown, S.D.; Ientilucci, E.J., Wide-Area Electro-Optical Hyperspectral Scene Simulation for Algorithm Performance Evaluation, Proceedings of the SPIE, SPIE Defense and Security, Targets and Backgrounds X: Characterization and Representation, 5431, Orlando, Florida, United States, April (2004)

    Bajorski, P.; Ientilucci, E.J.; Schott, J.R., Comparison of Basis-Vector Selection Methods for target and Background Subspace as Applied to Subpixel Target Detection, Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 5425, Orlando, Florida, United States, pp. 97-108, April (2004)

    Ientilucci, E.J.; Brown, S.D., Advances in Wide Area Hyperspectral Image Simulation, Proceedings of the SPIE, SPIE AeroSense, Targets and Backgrounds IX: Characterization and Representation, Scene Signature Modeling and Measurement Analysis, 5075, Orlando, Florida, United States, pp. 110-121, April (2003)

    Ientilucci, E.J.; Brown, S.D.; Schott, J.R.; Raqueno, R.V., Multi-spectral Simulation Environment for Modeling Low-Light-Level Sensor Systems, Proceedings of the SPIE, SPIE Annual Meeting, Image Intensifiers and Applications; and Characteristics and Consequences of Space Debris and Near-Earth Objects, Low-Light-Level Imaging, 3434, San Diego, California, United States, pp. 10-19, July (1998)


TECHNICAL REPORTS

    Ientilucci, E.J., Pixel Identification Techniques Using Hybrid Spectral Algorithms and Physics Based Models, prepared for NGA, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, December (2009)

    Ientilucci, E.J., On Using and Computing the Kappa Statistic, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, January (2006)

    Ientilucci, E.J., Finding Basis Vectors using the SVD function in IDL, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, January (2005)

    Ientilucci, E.J., Using the MaxD Target Detection (MaxDTD) Algorithm in ENVI with AVIRIS Data, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States (2004)

    Ientilucci, E.J., Using the Singular Value Decomposition, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, May (2003)

    Ientilucci, E.J., Comparison and Usage of Principal Component Analysis (PCA) and Noise Adjusted Principal Component Analysis (NAPC) or Maximum Noise Fraction (MNF), Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, May (2003)

    Ientilucci, E.J., AVIRIS Noise Analysis and Processing, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, March (2003)

    Ientilucci, E.J.; Ewald, K.R.; Marcin, J.; Spivey, A.J., Guide to Building Large Scale DIRSIG Scenes, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, January (2003)

    Ientilucci, E.J., Evaluating the Utility of a New Blue Band on LANDSAT for Water Quality Assessment, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, September (2002)

    Ientilucci, E.J., Predicting Atmospheric Paramters using Canonical Correlation Analysis, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, May (2002)

    Ientilucci, E.J.; Schott, J.R.; Banta, M.S., Solar and Lunar Radiometric Calibration, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 01-68-163, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, August (2001)

    Ientilucci, E.J., Hyperspectral Image Classification Using Orthogonal Subspace Projections: Image Simulation and Noise Analysis, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, April (2001)

    Brown, S.D.; Ientilucci, E.J.; Raqueno, R.V.; Schott, J.R., DIRSIG/GENESSIS Hybrid Hyperspectral System Simulation of the Fort AP Hill Site, prepared for Photon Research Associates, RIT/DIRS Report 00/01-71-162, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, January (2001)

    Ientilucci, E.J.; Brown, S.D.; Schott, J.R., Low-Light-Level Simulations and Extended Area Source Modeling, prepared for Eastman Kodak Company (Federal Systems Division), RIT/DIRS Report 00/01-68-159, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, January (2001)

    Ientilucci, E.J., Measurement of the Spectral Distribution of Gas Discharge, Fluorescent and Incandescent Sources, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing Laboratory, Rochester, New York, United States, June (2000)

    Schott, J.R.; Brown, S.D.; Raqueno, R.V.; Ientilucci, E.J., Characterization of the Spectral Correlation of Imaging Spectrometer Data, prepared for Eastman Kodak Company (Federal Systems Division), SIDE Report 96-51-107, SIDE, Rochester, New York, United States, December (1996)

    Brown, S.D.; Ientilucci, E.J.; Schott, J.R., Generation of Synthetic Images for use in Evaluation of Exploitation Tools, prepared for Eastman Kodak Company (Federal Systems Division), SIDE Report 96-71-106, SIDE, Rochester, New York, United States, January (1996)

    Raqueno, R.V.; Ientilucci, E.J.; Schott, J.R., Evaluation of multispectral fusion algorithms for high resolution imaging, prepared for Eastman Kodak (Federal Systems Division), SIDE Report 96-63-107, Rochester Institute of Technology, College of Science, Center for Imaging Science, Digital Imaging and Remote Sensing, Rochester, New York, United States, January (1996)


SENIOR RESEARCH PROJECTS

    Ientilucci, E.J., Modular Imaging Spectrometer Instrument (MISI) Calibration Using Blackbody Radiators, Senior Research Project, Rochester Institute of Technology, College of Science, Center for Imaging Science, Rochester, New York, United States, May (1996)


CONFERENCE PRESENTATION (NO PROCEEDINGS)

    Ientilucci, E.J.; Brown, S.D.; Schott, J.R., Low-Light-Level Simulations, SPIE, SPIE Northeast Regional Conference on Optoelectronic, Photonics, and Imaging, Rochester, New York, United Sates, April (2001)