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Saurabh Prasad

Affiliations: 
Electrical and Computer Engineering Mississippi State University, Starkville, MS, United States 
Area:
Electronics and Electrical Engineering, Acoustics Physics, Statistics
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"Saurabh Prasad"
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Publications

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Safari K, Prasad S, Labate D. (2020) A Multiscale Deep Learning Approach for High-Resolution Hyperspectral Image Classification Ieee Geoscience and Remote Sensing Letters. 1-5
Mukherjee S, Prasad S. (2020) A spatial–spectral semisupervised deep learning framework using siamese networks and angular loss Computer Vision and Image Understanding. 194: 102943
Xu Y, Du B, Zhang L, et al. (2019) Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12: 1709-1724
Mankar R, Walsh MJ, Bhargava R, et al. (2018) Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging. The Analyst
Zhou X, Prasad S. (2018) Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data Ieee Transactions On Geoscience and Remote Sensing. 56: 5863-5872
Saux BL, Yokoya N, Hansch R, et al. (2018) Advanced Multisource Optical Remote Sensing for Urban Land Use and Land Cover Classification [Technical Committees] Ieee Geoscience and Remote Sensing Magazine. 6: 85-89
Saux BL, Yokoya N, Hansch R, et al. (2018) 2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees] Ieee Geoscience and Remote Sensing Magazine. 6: 52-54
Yan L, Cui M, Prasad S. (2018) Joint Euclidean and Angular Distance-Based Embeddings for Multisource Image Analysis Ieee Geoscience and Remote Sensing Letters. 15: 1110-1114
Mukherjee S, Cui M, Prasad S. (2018) Spatially Constrained Semisupervised Local Angular Discriminant Analysis for Hyperspectral Images Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 1203-1212
Wu H, Prasad S. (2018) Semi-supervised dimensionality reduction of hyperspectral imagery using pseudo-labels Pattern Recognition. 74: 212-224
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