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

Authors

128

  1. CY
    Chenghai Yang

    Agricultural Research Service, United States

    6 publications · 386 citations

    6

    h-index

  2. RL
    Robert L. Nichols

    Cotton (United States), United States

    4 publications · 207 citations

    4

    h-index

  3. JH
    J. H. Everitt

    Agricultural Research Service, United States

    3 publications · 188 citations

    3

    h-index

  4. JA
    J. Alex Thomasson

    Texas A&M University, United States

    3 publications · 139 citations

    3

    h-index

  5. AR
    Aaron R. Schepers

    Secretaria do Meio Ambiente, Brazil

    2 publications · 384 citations

    2

    h-index

1–5 of 128

Venues

  1. Remote Sensing

    5 publications · 221 citations

    5

    h-index

  2. Agronomy Journal

    2 publications · 384 citations

    2

    h-index

  3. Neurocomputing

    1 publications · 39 citations

    1

    h-index

  4. Pattern Analysis and Applications

    1 publications · 64 citations

    1

    h-index

  5. Photogrammetric Engineering & Remote Sensing

    1 publications · 10 citations

    1

    h-index

1–5