Unsupervised Image Classification

Unsupervised Image Classification is a method in computer vision that assigns labels to images based on learned patterns without prior annotation, distinguishing itself from supervised approaches by relying solely on intrinsic data structures to infer class boundaries.

468

Publications

29K

Citations

1.5K

Authors

637

Institutions

Publications per year

2017–2026

141

Authors

1.5K

  1. LB
    Lorenzo Bruzzone

    University of Trento, Italy

    6 publications · 547 citations

    6

    h-index

  2. WY
    Wen Yang

    Wuhan University, China

    5 publications · 106 citations

    5

    h-index

  3. MG
    Mahamed G. H. Omran

    Gulf University for Science & Technology, Kuwait

    4 publications · 349 citations

    4

    h-index

  4. MG
    M.R. Grunes

    United States Naval Research Laboratory, United States

    4 publications · 1.9K citations

    4

    h-index

  5. XX
    Xin Xu

    Wuhan University, China

    4 publications · 89 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. International Journal of Remote Sensing

    41 publications · 3.3K citations

    27

    h-index

  2. 24

    h-index

  3. arXiv (Cornell University)

    Repository · 17 publications · 620 citations

    14

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 12 publications · 385 citations

    11

    h-index

  5. Remote Sensing

    11 publications · 466 citations

    11

    h-index

1–5