Rule-based Classification

Rule-Based Classification is a classification method that assigns land cover categories to input data based on a predefined set of deterministic rules derived from domain knowledge, spectral thresholds, or logical conditions, distinguishing it from statistical or machine learning approaches by its reliance on explicit, human-defined criteria.

1K

Publications

57.9K

Citations

2.5K

Authors

1K

Institutions

Publications per year

2017–2026

212

Authors

2.5K

  1. HI
    Hisao Ishibuchi

    Osaka Prefecture University, Japan

    43 publications · 3.5K citations

    22

    h-index

  2. FH
    Francisco Herrera

    Universidad de Granada, Spain

    26 publications · 3.4K citations

    21

    h-index

  3. HB
    Humberto Bustince

    Universidad Pública de Navarra (UPNA), Spain

    23 publications · 1.9K citations

    19

    h-index

  4. JS
    José Sanz

    Universidad Pública de Navarra (UPNA), Spain

    21 publications · 1.9K citations

    18

    h-index

  5. TN
    Tomoharu Nakashima

    Osaka Prefecture University, Japan

    16 publications · 1.5K citations

    13

    h-index

1–5 of 2.5K

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 33 publications · 4.6K citations

    28

    h-index

  2. Information Sciences

    21 publications · 1.6K citations

    21

    h-index

  3. Expert Systems with Applications

    20 publications · 836 citations

    16

    h-index

  4. Knowledge-Based Systems

    17 publications · 815 citations

    16

    h-index

  5. International Journal of Remote Sensing

    18 publications · 767 citations

    15

    h-index

1–5