Training Sample Selection
Training Sample Selection is the systematic process of identifying and acquiring representative geographic instances from a land cover dataset to optimize the calibration of classification models in remote sensing.
435
Publications
35K
Citations
1.7K
Authors
680
Institutions
Publications per year
2017–2026
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Chinese Academy of Sciences
Beijing, China
19 h-index
86 publications
31.5K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
14 publications
542 citations

Xidian University
Xi'an, China
11 h-index
42 publications
1.2K citations
Wuhan University
Wuhan, China
9 h-index
26 publications
11K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
7 h-index
36 publications
23.4K citations
Tongji University
Shanghai, China
7 h-index
18 publications
672 citations

University of Trento
Trento, Italy
7 h-index
11 publications
937 citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
14 publications
2.1K citations
1–8 of 680
21 publications · 3.4K citations
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25 publications · 1.9K citations
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Repository · 11 publications · 321 citations
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10 publications · 495 citations
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GRSL · 7 publications · 224 citations
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