Lidar Point Cloud Analysis

LiDAR Point Cloud Analysis is a methodological framework within remote sensing image analysis that specifically processes and interprets three-dimensional point cloud data acquired by Light Detection and Ranging (LiDAR) systems to extract geospatial information, distinguished from other remote sensing analyses by its reliance on active laser scanning to generate high-resolution spatial structures.

503

Publications

22.6K

Citations

1.8K

Authors

639

Institutions

Publications per year

2017–2026

299

Authors

1.8K

  1. JL
    Jonathan Li

    University of Waterloo, Canada

    16 publications · 1.1K citations

    15

    h-index

  2. MA
    Mohammad Awrangjeb

    Griffith University, Australia

    14 publications · 759 citations

    12

    h-index

  3. RW
    Ruisheng Wang

    University of Calgary, Canada

    9 publications · 392 citations

    9

    h-index

  4. YY
    Yongtao Yu

    Huaiyin Institute of Technology, China

    8 publications · 524 citations

    8

    h-index

  5. BY
    Bisheng Yang

    Wuhan University, China

    9 publications · 716 citations

    8

    h-index

1–5 of 1.8K

Venues

  1. Remote Sensing

    60 publications · 2.5K citations

    31

    h-index

  2. 28

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 16 publications · 892 citations

    16

    h-index

  4. Sensors

    14 publications · 836 citations

    14

    h-index

  5. 14

    h-index

1–5