Unsupervised Scene Classification

Unsupervised Scene Classification is a machine learning approach to scene categorization that belongs to the genus of scene classification methods and is differentiated by its reliance on unlabeled data to discover latent scene structures without explicit supervision.

25

Publications

2K

Citations

84

Authors

39

Institutions

Publications per year

2017–2026

5

Authors

84

  1. HT
    Hong Tang

    Beijing Normal University, China

    2 publications · 33 citations

    2

    h-index

  2. FH
    Fan Hu

    Wuhan University, China

    2 publications · 194 citations

    2

    h-index

  3. SH
    Shi He

    Beijing Normal University, China

    2 publications · 33 citations

    2

    h-index

  4. GX
    Gui-Song Xia

    Wuhan University, China

    2 publications · 194 citations

    2

    h-index

  5. MG
    M. Gerke

    University of Twente, Netherlands

    2 publications · 138 citations

    2

    h-index

1–5 of 84

Venues

  1. 4

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  2. 2

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  3. Remote Sensing

    2 publications · 60 citations

    2

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 75 citations

    2

    h-index

  5. 1

    h-index

1–5