| Endmember variability in hyperspectral analysis: Addressing spectral variability during spectral unmixing A Zare, KC Ho IEEE Signal Processing Magazine 31 (1), 95-104, 2013 | 335 | 2013 |
| Sparsity promoting iterated constrained endmember detection in hyperspectral imagery A Zare, P Gader IEEE Geoscience and Remote Sensing Letters 4 (3), 446-450, 2007 | 194 | 2007 |
| Multi-modal change detection, application to the detection of flooded areas: Outcome of the 2009–2010 data fusion contest N Longbotham, F Pacifici, T Glenn, A Zare, M Volpi, D Tuia, E Christophe, ... IEEE Journal of selected topics in applied earth observations and remote …, 2012 | 171 | 2012 |
| Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks BG Weinstein, S Marconi, S Bohlman, A Zare, E White Remote Sensing 11 (11), 1309, 2019 | 143 | 2019 |
| PCE: Piecewise convex endmember detection A Zare, P Gader IEEE Transactions on Geoscience and Remote Sensing 48 (6), 2620-2632, 2010 | 103 | 2010 |
| Muufl gulfport hyperspectral and lidar airborne data set P Gader, A Zare, R Close, J Aitken, G Tuell Univ. Florida, Gainesville, FL, USA, Tech. Rep. REP-2013-570, 2013 | 102 | 2013 |
| Hyperspectral band selection and endmember detection using sparsity promoting priors A Zare, P Gader IEEE Geoscience and Remote Sensing Letters 5 (2), 256-260, 2008 | 95 | 2008 |
| Spatial and spectral unmixing using the beta compositional model X Du, A Zare, P Gader, D Dranishnikov IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 76 | 2014 |
| Sampling Piecewise Convex Unmixing and Endmember Extraction A Zare, P Gader, G Casella IEEE Transactions on Geoscience and Remote Sensing 51 (3), 1655 - 1665, 2013 | 67 | 2013 |
| Bayesian fuzzy clustering TC Glenn, A Zare, PD Gader IEEE Transactions on Fuzzy Systems 23 (5), 1545-1561, 2014 | 64 | 2014 |
| Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing A Zare, P Gader, O Bchir, H Frigui IEEE Trans. on Geoscience and Remote Sensing 51 (9), 2013 | 64* | 2013 |
| Discriminative Multiple instance hyperspectral target characterization A Zare, C Jiao, T Glenn IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 2016 | 62* | 2016 |
| Vegetation mapping for landmine detection using long-wave hyperspectral imagery A Zare, J Bolton, P Gader, M Schatten IEEE Transactions on Geoscience and Remote Sensing 46 (1), 172-178, 2007 | 58 | 2007 |
| Cross-site learning in deep learning RGB tree crown detection BG Weinstein, S Marconi, SA Bohlman, A Zare, EP White Ecological Informatics 56, 101061, 2020 | 56 | 2020 |
| Spectral variability in hyperspectral data unmixing: A comprehensive review RA Borsoi, T Imbiriba, JCM Bermudez, C Richard, J Chanussot, ... IEEE geoscience and remote sensing magazine 9 (4), 223-270, 2021 | 44 | 2021 |
| RhizoVision Crown: an integrated hardware and software platform for root crown phenotyping A Seethepalli, H Guo, X Liu, M Griffiths, H Almtarfi, Z Li, S Liu, A Zare, ... Plant Phenomics 2020, 2020 | 41 | 2020 |
| Partial membership latent Dirichlet allocation for soft image segmentation C Chen, A Zare, HN Trinh, GO Omotara, JT Cobb, TA Lagaunne IEEE Transactions on Image Processing 26 (12), 5590-5602, 2017 | 40* | 2017 |
| Functions of multiple instances for learning target signatures C Jiao, A Zare IEEE transactions on geoscience and remote sensing 53 (8), 4670-4686, 2015 | 40 | 2015 |
| Multiple instance hybrid estimator for hyperspectral target characterization and sub-pixel target detection C Jiao, C Chen, RG McGarvey, S Bohlman, L Jiao, A Zare ISPRS Journal of Photogrammetry and Remote Sensing 146, 235-250, 2018 | 39 | 2018 |
| Using physics-based macroscopic and microscopic mixture models for hyperspectral pixel unmixing R Close, P Gader, J Wilson, A Zare Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012 | 35 | 2012 |
Paul GaderProfessor, University of FloridaVerified email at essie.ufl.edu
