Unsupervised Crop Classification
Unsupervised Crop Classification is a method of categorizing crop types in remote sensing imagery based on inherent spectral patterns and spatial characteristics without the use of labeled training data to guide the classification process.
31
Publications
2.2K
Citations
128
Authors
57
Institutions
Publications per year
2017–2026
17
Parents
31
1–5 of 31
128
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h-index
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1–5 of 128
57

Agricultural Research Service
Washington, United States
6 h-index
9 publications
709 citations

Cotton (United States)
Cary, United States
3 h-index
3 publications
189 citations
Texas A&M University
College Station, United States
3 h-index
9 publications
417 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
254 citations
Secretaria do Meio Ambiente
São Paulo, Brazil
2 h-index
2 publications
384 citations

Instituto Nacional de Pesquisas Espaciais
São José dos Campos, Brazil
2 h-index
5 publications
466 citations
Mississippi State University
Starkville, United States
2 h-index
2 publications
183 citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
8 publications
1.5K citations
1–8 of 57
5 publications · 221 citations
5
h-index
2 publications · 384 citations
2
h-index
1 publications · 39 citations
1
h-index
1 publications · 64 citations
1
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1 publications · 10 citations
1
h-index
1–5