Multi-scale Classification
Multi-Scale Classification is a land cover classification approach that integrates spatial information from multiple scales or resolutions to improve thematic mapping accuracy by capturing heterogeneous landscape patterns more effectively than single-scale methods.
197
Publications
60.8K
Citations
806
Authors
352
Institutions
Publications per year
2017–2026
103
Parents
197
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.8K citations
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia et al. · arXiv (Cornell University) · 2014 · 1.4K citations · Full text
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352

Chinese Academy of Sciences
Beijing, China
11 h-index
44 publications
2.2K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
16 publications
1.1K citations

Sapienza University of Rome
Rome, Italy
5 h-index
12 publications
770 citations

Peking University
Beijing, China
5 h-index
15 publications
1.5K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
4 h-index
13 publications
878 citations
Nanjing University
Nanjing, China
4 h-index
18 publications
718 citations
Wuhan University
Wuhan, China
4 h-index
16 publications
1.3K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
3 h-index
10 publications
378 citations
1–8 of 352
14 publications · 736 citations
14
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10 publications · 567 citations
10
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8 publications · 941 citations
8
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6 publications · 1.2K citations
6
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JAG · 5 publications · 240 citations
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