Knowledge-based Classification
Knowledge-Based Classification is a knowledge-driven remote sensing image classification method that integrates prior expert knowledge, such as spectral, spatial, and contextual rules, to guide the categorization of land cover classes, distinguishing it from data-driven approaches that rely primarily on statistical pattern recognition.
256
Publications
16.8K
Citations
805
Authors
343
Institutions
Publications per year
2017–2026
58
Parents
256
1–5 of 256
805
4
h-index
4
h-index
4
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3
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1–5 of 805
343
Wuhan University
Wuhan, China
7 h-index
16 publications
1K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
31 publications
923 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
6 h-index
13 publications
335 citations

UNSW Sydney
Sydney, Australia
5 h-index
8 publications
266 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
16 publications
760 citations
The University of Texas at Austin
Austin, United States
4 h-index
8 publications
318 citations

University of Salzburg
Salzburg, Austria
4 h-index
8 publications
350 citations

University of Twente
Enschede, The Netherlands
4 h-index
10 publications
1.7K citations
1–8 of 343
22 publications · 4.3K citations
19
h-index
19 publications · 1.7K citations
18
h-index
13 publications · 702 citations
13
h-index
GRSL · 5 publications · 235 citations
5
h-index
5 publications · 182 citations
5
h-index
1–5