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

Authors

1.9K

  1. AD
    Adrien Depeursinge

    HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland

    6 publications · 190 citations

    6

    h-index

  2. PJ
    Paul J. Curran

    University of Southampton, United Kingdom

    6 publications · 488 citations

    6

    h-index

  3. HM
    Henning Müller

    HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland

    6 publications · 190 citations

    6

    h-index

  4. OM
    Odemir Martinez Bruno

    Universidade de São Paulo, Brazil

    6 publications · 215 citations

    6

    h-index

  5. AU
    Andreas Uhl

    University of Salzburg, Austria

    6 publications · 134 citations

    6

    h-index

1–5 of 1.9K

Venues

  1. International Journal of Remote Sensing

    32 publications · 2.6K citations

    25

    h-index

  2. Pattern Recognition Letters

    14 publications · 514 citations

    14

    h-index

  3. Pattern Recognition

    14 publications · 8.8K citations

    14

    h-index

  4. Remote Sensing

    14 publications · 1.3K citations

    13

    h-index

  5. 13

    h-index

1–5