Hyperspectral Feature Extraction
Hyperspectral Feature Extraction is a dimensionality reduction technique in remote sensing that identifies and isolates spectrally distinct and informative features from hyperspectral imagery by leveraging the high-resolution spectral signatures across numerous contiguous bands.
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2017–2026
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Recent advances in techniques for hyperspectral image processing
Antonio Plaza, Jón Atli Benediktsson, Joseph W. Boardman et al. · Remote Sensing of Environment · 2009 · 1.6K citations
Graph Convolutional Networks for Hyperspectral Image Classification
Danfeng Hong, Lianru Gao, Jing Yao et al. · IEEE Transactions on Geoscience and Remote Sensing · 2020 · 1.6K citations · Full text
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Chinese Academy of Sciences
Beijing, China
46 h-index
251 publications
30.2K citations

Xidian University
Xi'an, China
39 h-index
323 publications
16.8K citations
Mississippi State University
Starkville, United States
39 h-index
102 publications
9.4K citations
Wuhan University
Wuhan, China
39 h-index
200 publications
19.4K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
33 h-index
117 publications
11.3K citations

Universidad de Extremadura
Badajoz, Spain
31 h-index
98 publications
11K citations

Northwestern Polytechnical University
Xi'an, China
31 h-index
148 publications
13.6K citations

UNSW Sydney
Sydney, Australia
30 h-index
45 publications
6.6K citations
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252 publications · 28.7K citations
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GRSL · 111 publications · 5.9K citations
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104 publications · 8.6K citations
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