Pixel-based Classification
Pixel-Based Classification is a remote sensing image analysis method that assigns a land cover or land use class to each individual pixel based on its spectral properties, without incorporating spatial context or neighboring pixel information.
1.3K
Publications
86.9K
Citations
4.6K
Authors
1.5K
Institutions
Publications per year
2017–2026
616
Variants
Pixel-based Image Classification
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Chinese Academy of Sciences
Beijing, China
31 h-index
214 publications
10.8K citations
University of Chinese Academy of Sciences
Beijing, China
22 h-index
84 publications
4.5K citations
Wuhan University
Wuhan, China
19 h-index
72 publications
13.3K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
16 h-index
54 publications
2.5K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
16 h-index
45 publications
3.8K citations

University of Twente
Enschede, The Netherlands
15 h-index
29 publications
3.9K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
45 publications
1.5K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
13 h-index
52 publications
2K citations
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118 publications · 7.4K citations
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69 publications · 5.3K citations
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62 publications · 4.2K citations
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32 publications · 2.4K citations
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17 publications · 905 citations
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