Emmett Ientilucci

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) [BibTeX]

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) [BibTeX]

REFEREED JOURNAL ARTICLES

Ientilucci, E.J., Stochastic Modeling of Physically Derived Signature Spaces, Journal of Applied Remote Sensing, 2, 023532 (2008) [BibTeX]

Raqueno, R.V.; Ientilucci, E.J.; Schott, J.R., Evaluation of Multispectral Fusion Algorithms for High Resolution Imaging, (1996) [BibTeX]

CONFERENCE PROCEEDINGS

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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, 5806, Orlando, Florida, pp. 1-12, March (2005) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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, April (2004) [BibTeX]

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) [BibTeX]

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) [BibTeX]

TECHNICAL REPORTS

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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) [BibTeX]

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 (2001) [BibTeX]

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) [BibTeX]

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 (1997) [BibTeX]

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) [BibTeX]

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) [BibTeX]