Object-based Landform Classification

Object-Based Landform Classification is a landform classification approach that partitions continuous terrain into discrete, homogeneous units based on spectral, geometric, and contextual image characteristics prior to classification, distinguishing it from pixel-based methods by leveraging segmented objects as the fundamental analysis unit.

51

Publications

3.5K

Citations

173

Authors

88

Institutions

Publications per year

2017–2026

15

Authors

173

  1. LD
    Lucian Drăguţ

    West University of Timişoara, Romania

    4 publications · 697 citations

    4

    h-index

  2. CE
    Clemens Eisank

    University of Salzburg, Austria

    3 publications · 102 citations

    3

    h-index

  3. TB
    Thomas Blaschke

    University of Salzburg, Austria

    3 publications · 607 citations

    3

    h-index

  4. GT
    Guoan Tang

    Nanjing Normal University, China

    3 publications · 92 citations

    3

    h-index

  5. CH
    Christian Heipke

    Leibniz University Hannover, Germany

    2 publications · 28 citations

    2

    h-index

1–5 of 173

Venues

  1. 5

    h-index

  2. Remote Sensing of Environment

    5 publications · 719 citations

    5

    h-index

  3. International Journal of Remote Sensing

    4 publications · 95 citations

    4

    h-index

  4. Geomorphology

    4 publications · 606 citations

    4

    h-index

  5. Remote Sensing

    3 publications · 85 citations

    3

    h-index

1–5