Terrain Object Detection

Terrain Object Detection is a computational method that identifies and localizes discrete terrain features within geospatial data by distinguishing them from surrounding topography based on morphological, spectral, or contextual signatures.

28

Publications

974

Citations

89

Authors

39

Institutions

Publications per year

2017–2026

11

Authors

89

  1. SL
    Songyu Li

    Beijing University of Technology, China

    1 publications · 19 citations

    1

    h-index

  2. TB
    Txomin Bornaetxea

    University of the Basque Country, Spain

    1 publications · 15 citations

    1

    h-index

  3. KS
    Karsten Schulz

    Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany

    1 publications · 11 citations

    1

    h-index

  4. RA
    Rami Al-Jarrah

    University of Siegen, Germany

    1 publications · 11 citations

    1

    h-index

  5. SF
    Sagi Filin

    Technion – Israel Institute of Technology, Israel

    1 publications · 39 citations

    1

    h-index

1–5 of 89

Venues

  1. Journal of Field Robotics

    JFR · 3 publications · 174 citations

    3

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Robotics and Autonomous Systems

    1 publications · 36 citations

    1

    h-index

  5. 1

    h-index

1–5