Emmett Ientilucci

College of Art and Design College of Engineering Technology College of Health Sciences and Technology College of Liberal Arts College of Science Golisano College of Computing and Information Sciences Golisano Institute for Sustainability International Campuses Kate Gleason College of Engineering National Technical Institute for the Deaf Saunders College of Business

Emmett Ientilucci

Assistant Professor
College of Science
Chester F. Carlson Center for Imaging Science

2022 Submissions

Journal Paper

Zhao, Runchen, Emmett Ientilucci, and Peter Bajorski. "A Statistical Temperature Emissivity Separation Algorithm for Hyperspectral System Modeling." IEEE Geoscience and Remote Sensing Letters (GRSL) 19. (2022): 1-5. Print. * £

Zhao, Runchen and Emmett Ientilucci. "A Full-Spectrum Spectral Imaging System Analytical Model with LWIR TES Capability." IEEE Transactions on Geoscience and Remote Sensing. (2022): 10. Print. *

Jha, Sudhanshu Shekhar, Rama Rao Nidamanuri, and Emmett J. Ientilucci. "Influence of atmospheric modeling on spectral target detection through forward modeling approach in multi-platform remote sensing data." ISPRS Journal of Photogrammetry and Remote Sensing 183. (2022): 286-306. Web. *

Published Conference Proceedings

Gartley, Mike and Emmett Ientilucci. "Temporally adjusted atmospheric compensation (TAAC) for space-based multi-spectral imagery." Proceedings of the SPIE Optical Engineering + Applications, Earth Observing Systems XXVII. Ed. James J. Butler. San Diego, CA: n.p., 2022. Print. ˜

Canas, C., et al. "Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection." Proceedings of the SPIE Imaging Spectrometry. Ed. Emmett Ientilucci. San Diego, CA: n.p., 2022. Print. ˜

Ientilucci, Emmett J. "Proceedings Volume 1223, Imaging Spectrometry XXV." Proceedings of the Optical Engineering + Applications,. Ed. Emmett J. Ientilucci. San Diego, CA: SPIE, 2022. Print.

Ientilucci, Emmett, et al. "Development of test methods for hyperspectral cameras characterization in the P4001 standards development." Proceedings of the SPIE Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII. Ed. Miguel Velez-Reyes and David W. Messinger. Orlando, FL: n.p., 2022. Print.

Invited Keynote/Presentation

Ientilucci, Emmett. "Remote Sensing, Data Collection, and Hyperspectral Imaging." International Workshop on Remote Sensing and Applications. Technology Innovation Hub, Indian Statistical Institute (ISI), and IEEE GRSS Kolkata Chapter. Kolkata, India. 12 Aug. 2022. Guest Lecture.

Ientilucci, Emmett. "Hyperspectral Image Analysis." Deep Learning and Artificial Intelligence Summer School 2022. Asia Pacific Neural Network Society (APNNS), King Mongkut’s University of Technology. Bangkok, Thailand. 18 Jun. 2022. Guest Lecture.

Peer Reviewed/Juried Poster Presentation or Conference Paper

Chakraborty, D., et al. "Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning." Proceedings of the International Conference on Neural Information Processing (ICONIP). Ed. M. Tanveer. Indore, India: n.p.. *

Koranne, V., et al. "Segmentation of Smoke Plumes Using Fast Local Laplacian Filtering." Proceedings of the Computer Vision & Image Processing (CVIP). Ed. Bidyut Baran Chaudhuri. Nagpur, India: n.p.. *

Rangnekar, A., et al. "SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery." Proceedings of the Dynamic Data Driven Applications Systems (DDDAS). Ed. Erik Blasch. Cambridge, MA: n.p.. *

Couwenhoven, Scott and Emmett Ientilucci. "A Weakly-supervised, Multi-task Deep Learning Framework For Shadow Mitigation in Remote Sensing Imagery." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysia: n.p.. *

Lo, Eddie and Emmett Ientilucci. "Hyperspectral Object Detection using Neural Networks." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysis: n.p.. *

Conran, David and Emmett Ientilucci. "A Vicarious Technique for Understanding HSI Misregistration Using Convex Mirrors." Proceedings of the IGARSS 2022. Ed. Hean Teik Chuah. Kuala Lumpur, Malaysis: n.p.. *

2021 Submissions

Published Conference Proceedings

Conran, David and Emmett Ientilucci. "Defining a New Resolution Technique for Remote Imaging Sensors." Proceedings of the International Geoscience and Remote Sensing Symposium. Ed. IGARSS. Brussels, Belgium: IEEE, 2021. Print. *

Wiseman, Sandra, et al. "Enhanced target Detection Under Poorly Illuminated Conditions." Proceedings of the International Geoscience and Remote Sensing Symposium. Ed. IGARSS. Brussels, Belgium: n.p., 2021. Print. *

Invited Keynote/Presentation

Ientilucci, Emmett J. "Remote Sensing and Data Acquisition." 2021 IEEE GRSS Workshop on Spatial Geoinformatics using Machine Learning Approaches. IEEE. Kolkata, India. 24 Sep. 2021. Guest Lecture.

2020 Submissions

Journal Paper

Rangnekar, Aneesh, et al. "Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery." Dynamic Data Driven Application Systems 12312. (2020): 163-170. Print. *

Rangnekar, Aneesh, et al. "AeroRIT: A New Scene for Hyperspectral Image Analysis." Transactions on Geoscience and Remote Sensing 58. 11 (2020): 1-9. Print. *

Peer Reviewed/Juried Poster Presentation or Conference Paper

Conran, David and Emmett Ientilucci. "A Rayleigh Criteria based Image Quality Technique used for defining Satellite Resolution." Proceedings of the JACIE 2020. Ed. Greg Stensaas. Virtual, VA: n.p..

2019 Submissions

Journal Paper

Ientilucci, Emmett and Steve Adler-Golden. "Atmospheric Compensation of Hyperspectral Data." IEEE Geoscience and Remote Sensing Magazine 7. 2 (2019): 31-50. Print. *

Savakis, Andreas, et al. "Change Detection in Satellite Imagery with Region Proposal Networks." Journal of the DSIAC Defense Systems Information Analysis Center 6. 4 (2019): 22-28. Web. £

Invited Paper

Ientilucci, Emmett. "Lab-based Radiometric Concepts for Undergraduate and Graduate Students." Proceedings Volume 11143, Education and Training in Optics and Photonics: ETOP 2019. (2019). Print.

Journal Editor

Ientilucci, Emmett, ed. Imaging Spectrometry. San Diego: SPIE Optical Engineering and Applications, 2019. Print.

Invited Keynote/Presentation

Ientilucci, Emmett J. "Remote Sensing, Spectral Target Detection, and Unmanned Aerial Systems (UAS)." IEEE Engineering Symposium. IEEE. Rochester, NY. 23 Apr. 2019. Conference Presentation. *

Ientilucci, Emmett. "Remote Sensing, Spectral Target Detection, and Unmanned Aerial Systems (UAS)." IEEE Engineering Symposium. IEEE. Rochester, NY. 23 Apr. 2019. Conference Presentation. £

Ientilucci, Emmett. "Atmospheric Compensation." Workshop on Advanced Machine Learning Techniques for Climate Informatics. IEEE. Kolkata, India. 4 Nov. 2019. Guest Lecture.

Ientilucci, Emmett. "Lab-based Radiometric Concepts for Undergraduate and Graduate Students." OSA ETOP Conference. Optical Society of America (OSA). Quebec, Canada. 21 May 2019. Conference Presentation.

2018 Submissions

Journal Paper

Yousefhussien, Mohammad, et al. "A Multi-scale Fully Convolutional Network for Semantic Labeling of 3D Point Clouds." ISPRS Journal of Photogrammetry and Remote Sensing 143. (2018): 191-204. Web. * £

Wang, Yue and Emmett Ientilucci. "A Practical Approach to Landsat 8 TIRS Stray Light Correction Using Multi-Sensor Measurements." Journal of Remote Sensing 10. 4 (2018): 589. Web. *

Published Conference Proceedings

Sun, Yihang, Emmett Ientilucci, and Sophie Voisin. "Improvement of the Harris Corner Detector using an Entropy-Block-Based Strategy." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV. Ed. Miguel Velez-Reyes and David W. Messinger. Orlando, FL: SPIE, 2018. Print.

Ientilucci, Emmett. "Processing a New Hyperspectral Data set for Target Detection and Atmospheric Compensation Algorithm Assessment: The RIT2017 Data Set." Proceedings of the IGARSS 2018. Ed. José Moreno. Valencia, Spain: IEEE, 2018. Print. ˜

Yang, Gefei, et al. "Dual-Channel DenseNET for Hyperspectral Image Classification." Proceedings of the IGARSS 2018. Ed. José Moreno. Valencia, Spain: IEEE, 2018. Print. ˜

Journal Editor

Ientilucci, Emmett and John Silny, ed. Imaging Spectrometry XXII: Applications, Sensors, and Processing. San Diego: SPIE, 2018. Print. *

Invited Keynote/Presentation

Ientilucci, Emmett. "Hyperspectral Data Processing and Target Detection." Remotely Sensed Big Data Analysis and Mining (RSBDAM 2018). IEEE GRSS. Kolkata, India. 33 Dec. 2018. Guest Lecture.

Ientilucci, Emmett. "Remote Sensing and Data Analysis Techniques." Guest Lecturer. National Institute of Technology (NIT). Silchar, India. 25 Jan. 2018. Guest Lecture.

2017 Submissions

Journal Paper

Rangnekar, A., et al. "Aerial Spectral Super-Resolution using Conditional Adversarial Networks." Computer Vision and Pattern Recognition (CVPR). (2017): 1-9. Web. *

Invited Paper

Ientilucci, Emmett. "Spectral Target Detection Considerations from a Physical Modeling Perspective." IEEE IGARSS. (2017). Print. *

2016 Submissions

Journal Paper

Bandyopadhya, M., et al. "On the Fusion of LiDAR and Aerial Color Imagey to Detect Urban Vegetation and Buildings." J. of Photogrammetric Engineering and Remote Sensing 82. 2 (2016): 123-136. Print. *

2015 Submissions

Journal Paper

Ientilucci, Emmett J. and Emmett J. Ientilucci. "Fusion of LADAR and Hyperspectral Data with an Application in Material Identification." IEEE Geoscience and Remote Sensing Magazine. (2015): --. Print. *

Published Conference Proceedings

Ientilucci, Emmett J. "Target Detection Assessment of the SHARE 2010/2012 Hyperspectral Data Collection Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. Baltimore, Maryland: SPIE, 2015. Print. *

Ientilucci, Emmett J. "Detection of Spectrally Varing BRDF Materials in Hyperspectral Imagery." Proceedings of the Algorithms and Technologies for multispectral, hyperspectral, and ultraspectral imagery XXII. Baltimore, Maryland: SPIE, 2015. Print. *

Ientilucci, Emmett J. "Target Detection for Hyperspectral Imaging with Small Sample Size." Proceedings of the Target Detection for Hyperspectral Imaging with Small Sample Size. Baltimore, Maryland: SPIE, 2015. Print. *

Ientilucci, Emmett J. "Vehicle Level BRDF Roof-Top Hyperspectral Data Collection." Proceedings of the Algorithms,and technologies for multispectral, hyperspectral, and ultraspectral imagery XXII. Baltimore, Maryland: SPIE, 2015. Print. *

Ientilucci, Emmett J. "Improved Atmospheric Retrievals of Hyperspectral Data using Geometric Constraints." Proceedings of the Imaging Spectrometry XX. San Diego, California: SPIE, 2015. Print. *

Ientilucci, Emmett J. "Target Detection for Hyperspectral Imaging with Small Sample Size." Proceedings of the Remote Sensing: Understanding the Earth for a Safer World. Milan, Milan: IEEE, 2015. Print. *

2014 Submissions

Journal Paper

Ientilucci, Emmett J. and Emmett J. Ientilucci. "Fusion of LADAR and Hyperspectral Data with an Application in Material Identification." IEEE GRS Magazine special issue on data fusion in remote sensing. (2014): --. Print. *

Ientilucci, Emmett J., et al. "Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems." IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 7. 2 (2014): 480--490. Print. *

2013 Submissions

Published Conference Proceedings

Ientilucci, Emmett 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." Proceedings of the Imaging Spectrometry XVIII. San Diego, California: n.p., 2013. Print. *

Albano, James A., David W. Messinger, and Emmett J. Ientilucci. "Spectral Target Detection Using a Physical Model and A Manifold Learning Technique." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print. *

Giannandrea, AnneMarie, et al. "The SHARE 2012 Data Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print. *

Ientilucci, Emmett J. "Spectral Target Detection Using A Physical Model and A Manifold Learning Technique." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print. *

Ientilucci, Emmett J. "SHARE 2012: Analysis of Illumination Differences on Targets in Hyperspectral Imagery." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print. *

2012 Submissions

Published Conference Proceedings

Herweg, Jared, et al. "SpecTIR Hyperspectral Airborne Rochester Experiment Data Collection Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, Maryland: n.p., 2012. Print. *

Ientilucci, Emmett J. "Leveraging Lidar Data to Aid in Hyperspectral Image Target Detection in the Radiance Domain." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, Maryland: n.p., 2012. Print. *

2011 Submissions

Full Length Book

Ientilucci, Emmett J. and John R. Schott. Radiometry and Radiation Propagation. 1st ed. Rochester, New York: Oxford University Press, 2023. Print. *

Journal Paper

Matteoli, Stefania, Emmett J. Ientilucci, and John P. Kerekes. "Operational and Performance Considerations of Radiative Transfer Modeling in Hyperspectral Target Detection." IEEE Transactions on Geoscience and Remote Sensing 49. 4 (2011): 1343-1355. Print. *

S, Matteoli,, Emmett J Ientilucci, and John P Kerekes. "Operational and performance considerations of radiative transfer modeling in hyperspectral target detection." IEEE Transactions on Geoscience and Remote Sensing 49. 4 (2011): 1343-1355. Print. *

Published Conference Proceedings

Basener, William, et al. "A Detection Identification Process with Geometric Target Detection and Subpixel Spectral Visualization." Proceedings of the WHISPERS 2011. Lisbon, Portugal: n.p., 2011. Print. *

Herweg, Jared, et al. "Spectral Variations in HSI Signatures of Thin Fabrics for Detecting and Tracking of Pedestrians." Proceedings of the Active and Passive Signatures II. Orlando, FL: n.p., 2011. Print. *

Peer Reviewed/Juried Poster Presentation or Conference Paper

Ientilucci, Emmett and Peter Bajorski. "Hyperspectral target detection in a whitened space utilizing forward modeling concepts." Proceedings of the 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. Jocelyn Chanussot. Reykjavik, Iceland: IEEE. *

2010 Submissions

Published Article

Matteoli, S., E.J. Ientilucci, J.P. Kerekes. “Operational and performance considerations of radiative transfer modeling in hyperspectral target detection.” IEEE Transactions on Geoscience and Remote Sensing, (2010): 1-13. Print. £

Ientilucci, E.J., P. Bajorski, “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): n.p. Print. £

McGlinchy, J., J.A. van Aardt, H.E. Rhody, J.P. Kerekes, E.J. Ientilucci, G.P. Asner, D. Knapp, R. Mathieu, T. Kennedy-Bowdoin, B.F. Erasmus, K. Wessels, I.P. Smit, J. Wu, D. Sarrazin. “Extracting Structural Land Cover Components using Small footprint Waveform Lidar Data.” IEEE International Geoscience and Remote Sensing Symposium, 2010. n.p. Print. " 

Gillis, D., J. Bowles, E.J. Ientilucci. “Results of GLMM-based target detection on the RIT data set.” Defense and Security Symposium, April 2010. n.p. Print.

Matteoli, S., E.J. Ientilucci, J.P. Kerekes, “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, 7695 (April 2010): n.p. Print.