Dr. Emmett Ientilucci is an assistant research professor in RITâs Digital Imaging and Remote Sensing (DIRS) group. He has degrees in optics and imaging science. Prior to his faculty position, he was a Postdoctoral Research Fellow for the Intelligence Community.
His recent research interests include the incorporation of physics based (target) modeling into structured hybrid hyperspectral sub-pixel detection algorithms with the addition of a geometric infeasibility metric and incorporation of LiDAR. In general, Dr. Ientilucciâs interests are in geometric and stochastic target detection as well as improvements to the physics based modeling approach as it pertains to the development of target spaces. He has also published on the impact endmember selection has on target detection, spectral variability, and general hyperspectral algorithm development. Recently, he has been involved with atmospheric and radiative transfer modeling and scattering from small particles as it relates to bio-aerosols.
Dr. Ientilucci has taught courses and labs in radiometry, remote sensing, geometrical optics, photo science, dimensional metrology, measurement and analysis, and computer techniques for technicians, both at RIT and Monroe Community College. In addition to his own work, he has managed teams of graduate students in imaging and computer science on their work, as it relates to specific government and commercial contracts.
He has participated in thesis advisement (lead or committee) for 40 undergraduate and graduate imaging science students and has 50 publications in the fields of imaging and remote sensing. He has served as referee on 11 scientific journals and has given more than 59 presentations (international and domestic) in the last 8 years.
He has written proposals which resulted in more than $700K in research related funding, been a program reviewer for the Department of Defense, is an organizing program committee member for SPIE (society for optics and photonics) in San Diego, CA., is Vice Chair for the Western NY Geoscience and Remote Sensing (GRS) Society, and is currently working on a text book entitled, “Radiometry and Radiation Propagation” with Oxford University Press which is due for publication in 2015.
- Remote Sensing
- Hyperspectral Image Processing
- Multivariate Statistics
- Target Detection
- J. McGlinchy, Jan A. N. van Aardt, B. Erasmus, G. Asner, R. Mathieu, K. Wessels, D. Knapp, Ty Kennedy-Bowdoin, H. Rhody, J. Kerekes, E. Ientilucci, J. Wu, D. Sarrazin, and K. Cawse-Nicholson, “Extracting Structural Vegetation Components From Small-Footprint Waveform Lidar for Biomass Estimation in Savanna Ecosystems” IEEE J. of Sel. Topics in Appl Earth Obs. And Remote Sensing, Vol 7, No. 2, Feb 2014.
- Basener, B., Schlamm, A., Messinger, D, and Ientilucci, E., “A detection identification process with geometric target detection and subpixel spectral visualization”, 3rd Workshop on Hyperspectral Image and Signal Processing (WHISPERS), Lisbon, Portugal, June 2011.
- Ientilucci, E.J., Bajorski, P., “Hyperspectral target detection in a whitened space utilizing forward modeling concepts” 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Reykjavik, Iceland, June 2010.
- Matteoli, S., Ientilucci, E.J., Kerekes, J.P., “Operational and performance considerations of radiative transfer modeling in hyperspectral target detection”, Transaction in Geoscience and Remote Sensing (TGARS), Vol. 49(4), pg. 1343-55, 2011
- Matteoli, S., Ientilucci, E.J., Kerekes, J.P., “Comparison of radiative transfer in physics-based models for an improved understanding of empirical hyperspectral data”, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 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”, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), France, August 2009.
- Matteoli, S., Ientilucci, E.J., Kerekes, J.P., “Radiance and Reflectance Based Target Detection in Hyperspectral Imagery, submitted to Transaction in Geoscience and Remote Sensing (TGARS), October 2008.
- Ientilucci, E., Bajorski, P., “Stochastic Modeling of Physically Derived Signature Spaces”, Journal of Applied Remote Sensing (JARS), Vol. 2, 023532, 2008.
- Schott, J.R., Raqueno, N., Montanaro, M., Ientilucci, E.J., Gerace, A., Lunsfor, A., “Chasing the TIRS Ghosts: Calibrating the Landsat 8 Thermal Bands” SPIE Earth Observing Systems XIX, (San Diego, CA), August 2014.
- Fertig, G., Ninkov, Z., Boco, M., Dayalu, J., Fourspring, K., Ientilucci, E., Ignjatovic, Z., Lee, P., McMurty, C., Newman, D., Pipher, J., Sacco, A., Zhang., C., “T-Ray Detection in 0.35um CMOS Technology” Proc. SPIE (Baltimore, MD), April 2014.
- 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,” SPIE Optical Engineering conference, San Diego, CA., August 2013.
- Ientilucci, E.J., “SHARE 2012: Analysis of illumination differences on targets in hyperspectral imagery,” Proc. SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Vol 8743, (Baltimore, MD), April 2013.
- Albano, J., Messinger, E., Ientilucci, “Spectral target detection using a physical model and a manifold learning technique” Proc. SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Vol 8743, (Baltimore, MD), April 2013.
- A. Giannandrea, N. Raqueno, D. Messinger, J. Faulring, J. Kerekes, J. van Aardt, K. Canham, S. Hagstrom, E. Ontiveros, A. Gerace, J. Kaufman, K. Vongsy, H. Griffith, B. Bartlett, E. Ientilucci, J. Meola, L. Scarff, B. Daniel, “The SHARE 2012 Data Campaign” in Proc. SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Vol 8743, (Baltimore, MD), April 2012.
- Ientilucci, E., “Leveraging LiDAR data to aid in hyperspectral image target detection in the radiance domain”, in Proc. SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Vol 8390, (Baltimore, MD), April 2012.
- Jared Herweg, John P. Kerekes, Oliver Weatherbee, David Messinger, Jan van Aardt, Emmett Ientilucci, Zoran Ninkov, Carl Salvaggio, Nina G. Raqueno, Jason Faulring, Joseph Meola, “SpecTIR hyperspectral airborne Rochester experiment data collection campaign, Proc SPIE 2012, Orlando, FL.
- Herweg, J., Kerekes, J., Ientilucci, E., and Eismann, M., “Spectral variations in HSI signatures of thin fabrics for detecting and tracking of pedestrians”, in Proc. SPIE Active and Passive Signatures II, Vol 8040, (Orlando, Fla), April 2011.
- Ientilucci, E., Kerekes, J., and Shaw, A., “Target detection using multiple hyperspectral imagers and physics-based models”, in Proc. SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, Vol 8048, (Orlando, Fla), April 2011.
- McGlinchy, J., Wu, J., Sarrazin, D., Van Aardt, J., Rhody, H., Kerekes, J., Ientilucci, E., and Asner, G.P., “Extracting structural land cover components using small-footprint waveform lidar data”, IGARSS Hawaii, 2010.