Texture-based Classification
Texture-Based Classification is a landscape classification method that distinguishes land cover types based on the spatial arrangement and variability of surface patterns, as opposed to solely relying on spectral or geometric features.
661
Publications
48.3K
Citations
1.9K
Authors
829
Institutions
Publications per year
2017–2026
138
Parents
661
1–5 of 661
1.9K
HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland
6 publications · 190 citations
6
h-index
6
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HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland
6 publications · 190 citations
6
h-index
6
h-index
6
h-index
1–5 of 1.9K
829

University of Oulu
Oulu, Finland
12 h-index
36 publications
20.6K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
21 publications
589 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
19 publications
2.1K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
7 h-index
14 publications
2K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
14 publications
618 citations
University of Maryland, College Park
College Park, United States
7 h-index
15 publications
8.8K citations
Universidade de São Paulo
São Paulo, Brazil
7 h-index
21 publications
1.8K citations
University of Oxford
Oxford, United Kingdom
6 h-index
10 publications
1.3K citations
1–8 of 829
32 publications · 2.6K citations
25
h-index
14 publications · 514 citations
14
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14 publications · 8.8K citations
14
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14 publications · 1.3K citations
13
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14 publications · 1.5K citations
13
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