Alina Zare
Alina Zare
Professor of Electrical and Computer Engineering, University of Florida
Verified email at - Homepage
Cited by
Cited by
Endmember variability in hyperspectral analysis: Addressing spectral variability during spectral unmixing
A Zare, KC Ho
IEEE Signal Processing Magazine 31 (1), 95-104, 2013
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
Sparsity promoting iterated constrained endmember detection in hyperspectral imagery
A Zare, P Gader
IEEE Geoscience and Remote Sensing Letters 4 (3), 446-450, 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
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
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
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
PCE: Piecewise convex endmember detection
A Zare, P Gader
IEEE Transactions on Geoscience and Remote Sensing 48 (6), 2620-2632, 2010
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
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
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
Discriminative Multiple instance hyperspectral target characterization
A Zare, C Jiao, T Glenn
IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 2016
Bayesian fuzzy clustering
TC Glenn, A Zare, PD Gader
IEEE Transactions on Fuzzy Systems 23 (5), 1545-1561, 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
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
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
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
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ...
Elife 10, e62922, 2021
Geometric attentional dynamic graph convolutional neural networks for point cloud analysis
Y Cui, X Liu, H Liu, J Zhang, A Zare, B Fan
Neurocomputing 432, 300-310, 2021
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
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