Terrain Pattern Recognition

Terrain Pattern Recognition is a computational method in geospatial analysis that identifies and classifies recurring topographic configurations by extracting morphometric signatures from digital elevation data, distinguishing itself from related terrain analysis techniques through its focus on spatial repetition and structural regularity in landform arrangements.

69

Publications

3.7K

Citations

209

Authors

102

Institutions

Publications per year

2017–2026

20

Authors

209

  1. HH
    He Huang

    North Carolina State University, United States

    2 publications · 68 citations

    2

    h-index

  2. GT
    Guoan Tang

    Nanjing Normal University, China

    2 publications · 47 citations

    2

    h-index

  3. DG
    D. Goldgof

    University of South Florida, United States

    2 publications · 91 citations

    2

    h-index

  4. KD
    Kristin Dana

    Rutgers, The State University of New Jersey, United States

    2 publications · 156 citations

    2

    h-index

  5. JX
    Jia Xue

    Rutgers Sexual and Reproductive Health and Rights, Netherlands

    2 publications · 156 citations

    2

    h-index

1–5 of 209

Venues

  1. Computers & Geosciences

    CAGEO · 5 publications · 192 citations

    5

    h-index

  2. Geomorphology

    3 publications · 789 citations

    3

    h-index

  3. 2

    h-index

  4. CATENA

    2 publications · 140 citations

    2

    h-index

  5. Photogrammetric Engineering & Remote Sensing

    2 publications · 101 citations

    2

    h-index

1–5