| Advances in wide-area hyperspectral image simulation EJ Ientilucci, SD Brown Targets and backgrounds IX: Characterization and representation 5075, 110-121, 2003 | 135 | 2003 |
| The SHARE 2012 data campaign AM Giannandrea, N Raqueno, DW Messinger, J Faulring, JP Kerekes, ... Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2013 | 126 | 2013 |
| A multi-scale fully convolutional network for semantic labeling of 3D point clouds M Yousefhussien, DJ Kelbe, EJ Ientilucci, C Salvaggio ISPRS journal of photogrammetry and remote sensing 143, 191-204, 2018 | 114 | 2018 |
| Anomaly detection using topology B Basener, EJ Ientilucci, DW Messinger Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2007 | 89 | 2007 |
| Spectir hyperspectral airborne rochester experiment data collection campaign JA Herwegab, JP Kerekesa, O Weatherbeec, D Messingera, J van Aardta, ... Proc. of SPIE Vol 8390, 839028-1, 2012 | 75 | 2012 |
| Comparison of basis-vector selection methods for target and background subspaces as applied to subpixel target detection P Bajorski, EJ Ientilucci, JR Schott Algorithms and technologies for multispectral, hyperspectral, and …, 2004 | 70 | 2004 |
| Using the singular value decomposition EJ Ientilucci Report of Chester F. Carlson Center for Imaging Science Rochester Institute …, 2003 | 53 | 2003 |
| Dual-channel densenet for hyperspectral image classification G Yang, UB Gewali, E Ientilucci, M Gartley, ST Monteiro IGARSS 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018 | 49 | 2018 |
| Matched filter stochastic background characterization for hyperspectral target detection JE West, DW Messinger, EJ Ientilucci, JP Kerekes, JR Schott Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2005 | 46 | 2005 |
| Aerorit: A new scene for hyperspectral image analysis A Rangnekar, N Mokashi, EJ Ientilucci, C Kanan, MJ Hoffman IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8116-8124, 2020 | 43 | 2020 |
| Atmospheric compensation of hyperspectral data: An overview and review of in-scene and physics-based approaches EJ Ientilucci, S Adler-Golden IEEE Geoscience and Remote Sensing Magazine 7 (2), 31-50, 2019 | 41 | 2019 |
| Operational and performance considerations of radiative-transfer modeling in hyperspectral target detection S Matteoli, EJ Ientilucci, JP Kerekes IEEE Transactions on Geoscience and Remote Sensing 49 (4), 1343-1355, 2010 | 38 | 2010 |
| Efficient generation of image chips for training deep learning algorithms S Han, A Fafard, J Kerekes, M Gartley, E Ientilucci, A Savakis, C Law, ... Automatic Target Recognition XXVII 10202, 15-23, 2017 | 33 | 2017 |
| Target detection in a structured background environment using an infeasibility metric in an invariant space EJ Ientilucci, JR Schott Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2005 | 28 | 2005 |
| Extracting structural vegetation components from small-footprint waveform lidar for biomass estimation in savanna ecosystems J McGlinchy, JAN Van Aardt, B Erasmus, GP Asner, R Mathieu, K Wessels, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 27 | 2013 |
| Aerial spectral super-resolution using conditional adversarial networks A Rangnekar, N Mokashi, E Ientilucci, C Kanan, M Hoffman arXiv preprint arXiv:1712.08690, 2017 | 26 | 2017 |
| Synthetic simulation and modeling of image intensified CCDs (IICCD) E Ientilucci | 26 | 1996 |
| Leveraging lidar data to aid in hyperspectral image target detection in the radiance domain EJ Ientilucci Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012 | 24 | 2012 |
| Impact of BRDF on physics-based modeling as applied to target detection in hyperspectral imagery EJ Ientilucci, M Gartley Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2009 | 23 | 2009 |
| A generalized linear mixing model for hyperspectral imagery D Gillis, J Bowles, EJ Ientilucci, DW Messinger Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2008 | 23 | 2008 |
John KerekesProfessor of Imaging Science, Rochester Institute of TechnologyEmail verificata su cis.rit.edu
