Παρακολούθηση
Saurabh Prasad
Saurabh Prasad
Professor, University of Houston
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα central.uh.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Locality-preserving dimensionality reduction and classification for hyperspectral image analysis
W Li, S Prasad, JE Fowler, LM Bruce
IEEE Transactions on Geoscience and Remote Sensing 50 (4), 1185-1198, 2012
5502012
Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest
C Debes, A Merentitis, R Heremans, J Hahn, N Frangiadakis, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
5082014
Semi-supervised deep learning using pseudo labels for hyperspectral image classification
H Wu, S Prasad
IEEE Transactions on Image Processing 27 (3), 1259-1270, 2018
4712018
Limitations of principal components analysis for hyperspectral target recognition
S Prasad, LM Bruce
IEEE Geoscience and Remote Sensing Letters 5 (4), 625-629, 2008
3822008
Manifold-learning-based feature extraction for classification of hyperspectral data: A review of advances in manifold learning
D Lunga, S Prasad, MM Crawford, O Ersoy
IEEE Signal Processing Magazine 31 (1), 55-66, 2014
3602014
Convolutional recurrent neural networks forhyperspectral data classification
H Wu, S Prasad
Remote Sensing 9 (3), 298, 2017
2962017
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Y Xu, B Du, L Zhang, D Cerra, M Pato, E Carmona, S Prasad, N Yokoya, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
2792019
Challenges and opportunities of multimodality and data fusion in remote sensing
M Dalla Mura, S Prasad, F Pacifici, P Gamba, J Chanussot, ...
Proceedings of the IEEE 103 (9), 1585-1601, 2015
2652015
High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton
A Kilicarslan, S Prasad, RG Grossman, JL Contreras-Vidal
Engineering in medicine and biology society (EMBC), 2013 35th annual …, 2013
2572013
Nearest regularized subspace for hyperspectral classification
W Li, EW Tramel, S Prasad, JE Fowler
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 477-489, 2014
2522014
Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest
G Licciardi, F Pacifici, D Tuia, S Prasad, T West, F Giacco, C Thiel, ...
IEEE Transactions on Geoscience and Remote Sensing 47 (11), 3857-3865, 2009
1962009
Fusion of hyperspectral and LiDAR remote sensing data using multiple feature learning
M Khodadadzadeh, J Li, S Prasad, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
1872015
Decision fusion with confidence-based weight assignment for hyperspectral target recognition
S Prasad, LM Bruce
IEEE Transactions on Geoscience and Remote Sensing 46 (5), 1448-1456, 2008
1642008
Hyperspectral image classification using Gaussian mixture models and Markov random fields
W Li, S Prasad, JE Fowler
IEEE Geoscience and Remote Sensing Letters 11 (1), 153-157, 2014
1622014
Locality-preserving discriminant analysis in kernel-induced feature spaces for hyperspectral image classification
W Li, S Prasad, JE Fowler, LM Bruce
IEEE Geoscience and Remote Sensing Letters 8 (5), 894-898, 2011
1442011
Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution
TC Bulea, S Prasad, A Kilicarslan, JL Contreras-Vidal
Frontiers in neuroscience 8, 376, 2014
1372014
Class-dependent sparse representation classifier for robust hyperspectral image classification
M Cui, S Prasad
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2683-2695, 2015
1282015
Ensemble multiple kernel active learning for classification of multisource remote sensing data
Y Zhang, HL Yang, S Prasad, E Pasolli, J Jung, M Crawford
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
1052015
Image processing for early diagnosis of breast cancer using infrared images
P Kapoor, S Prasad
Computer and Automation Engineering (ICCAE), 2010 The 2nd International …, 2010
922010
Spectral–spatial preprocessing using multihypothesis prediction for noise-robust hyperspectral image classification
C Chen, W Li, EW Tramel, M Cui, S Prasad, JE Fowler
IEEE journal of selected topics in applied earth observations and remote …, 2014
902014
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