Supervised Change Detection
Supervised Change Detection is a change detection approach that belongs to the class of supervised learning methods, distinguished by its reliance on labeled training data to learn the patterns of change and non-change between temporal observations for subsequent classification.
55
Publications
4.5K
Citations
183
Authors
109
Institutions
Publications per year
2017–2026
31
Parents
55
183
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109
Wuhan University
Wuhan, China
7 h-index
14 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
28 publications
5.2K citations
Institute of Electronics
Beijing, China
5 h-index
24 publications
5.1K citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
6 publications
1.5K citations

University of Trento
Trento, Italy
4 h-index
6 publications
1.5K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
4 h-index
5 publications
810 citations
China University of Geosciences
Wuhan, China
3 h-index
11 publications
843 citations
Aerospace Information Research Institute
Beijing, China
2 h-index
7 publications
165 citations
1–8 of 109
GRSL · 8 publications · 1.2K citations
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6 publications · 445 citations
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5 publications · 972 citations
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5 publications · 177 citations
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2 publications · 47 citations
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