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 31 undergraduate and graduate imaging science students and has 42 publications in the fields of imaging and remote sensing. He has served as referee on 10 scientific journals and has given more than 51 presentations (international and domestic) in the last 6 years.
He has written proposals which resulted in more than $800K in research related funding, been a program reviewer for the Department of Defense, and is currently working on a text book entitled, Radiometry and Radiation Propagation with Oxford University Press which is due for publication in 2014.
- Remote Sensing
- Hyperspectral Image Processing
- Multivariate Statistics
- Target Detection
See CIS.RIT.EDU faculty page for full listing.
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)