Knowledge-based Classification

Knowledge-Based Classification is a knowledge-driven remote sensing image classification method that integrates prior expert knowledge, such as spectral, spatial, and contextual rules, to guide the categorization of land cover classes, distinguishing it from data-driven approaches that rely primarily on statistical pattern recognition.

256

Publications

16.8K

Citations

805

Authors

343

Institutions

Publications per year

2017–2026

58

Authors

805

  1. AP
    Anne Puissant

    Laboratoire Image, Ville, Environnement, France

    4 publications · 210 citations

    4

    h-index

  2. PG
    Pierre Gançarski

    Université de Strasbourg, France

    4 publications · 210 citations

    4

    h-index

  3. JG
    Joydeep Ghosh

    The University of Texas at Austin, United States

    4 publications · 159 citations

    4

    h-index

  4. LM
    Luís M. Camarinha-Matos

    Universidade Nova de Lisboa, Portugal

    3 publications · 75 citations

    3

    h-index

  5. GF
    Germain Forestier

    Université de Haute-Alsace, France

    3 publications · 194 citations

    3

    h-index

1–5 of 805

Venues

  1. International Journal of Remote Sensing

    22 publications · 4.3K citations

    19

    h-index

  2. 18

    h-index

  3. Remote Sensing

    13 publications · 702 citations

    13

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 5 publications · 235 citations

    5

    h-index

  5. 5

    h-index

1–5