Lidar-based Terrain Segmentation

LiDAR-Based Terrain Segmentation is a computational method in geospatial analysis that partitions three-dimensional point cloud data acquired via Light Detection and Ranging (LiDAR) into meaningful, homogeneous regions representing distinct terrain features or surfaces based on geometric, topological, and elevation characteristics.

15

Publications

579

Citations

55

Authors

17

Institutions

Publications per year

2017–2026

5

Authors

55

  1. KC
    K. Clint Slatton

    University of Florida, United States

    2 publications · 22 citations

    2

    h-index

  2. MO
    Minho Oh

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 228 citations

    2

    h-index

  3. HM
    Hyun Myung

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 228 citations

    2

    h-index

  4. HL
    Hyungtae Lim

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 228 citations

    2

    h-index

  5. EJ
    Euigon Jung

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 58 citations

    1

    h-index

1–5 of 55

Venues

  1. IEEE Robotics and Automation Letters

    2 publications · 228 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Access

    1 publications · 34 citations

    1

    h-index

  4. Remote Sensing

    1 publications · 58 citations

    1

    h-index

  5. Geomorphology

    1 publications · 16 citations

    1

    h-index

1–5