Siamese Network-based Change Detection
Siamese Network-Based Change Detection is a change detection method that employs a Siamese neural network architecture to model pixel-wise or region-wise differences between co-registered multi-temporal remote sensing images by learning discriminative change representations through shared-weight dual subnetworks.
169
Publications
14.2K
Citations
576
Authors
166
Institutions
Publications per year
2017–2026
169
Parents
169
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, B. Le Saux, Alexandre Boulch · 2018 · 1.6K citations
Jie Chen, Ziyang Yuan, Jian Peng et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2020 · 643 citations · Full text
1–5 of 169
576
Nanjing University of Information Science and Technology, China
5 publications · 241 citations
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6
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Nanjing University of Information Science and Technology, China
3 publications · 79 citations
5
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1–5 of 576
166
Wuhan University
Wuhan, China
18 h-index
59 publications
7.8K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
66 publications
7K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
14 h-index
41 publications
4.9K citations

Nanjing University of Information Science and Technology
Nanjing, China
11 h-index
35 publications
1.7K citations

Xidian University
Xi'an, China
11 h-index
37 publications
2.6K citations
Aerospace Information Research Institute
Beijing, China
11 h-index
42 publications
1K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
25 publications
3.1K citations
Nanjing University of Science and Technology
Nanjing, China
7 h-index
21 publications
610 citations
1–8 of 166
23 publications · 2K citations
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27 publications · 2.8K citations
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GRSL · 12 publications · 2.2K citations
14
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14 publications · 1.3K citations
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JAG · 5 publications · 369 citations
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