Lidar Data Processing

LiDAR Data Processing is a computational methodology within 3D Geographic Information Systems that transforms raw light detection and ranging point cloud data into geospatially accurate, structured representations for mine survey analysis through noise filtering, registration, segmentation, and feature extraction.

961

Publications

49.3K

Citations

2.9K

Authors

947

Institutions

Publications per year

2017–2026

480

Authors

2.9K

  1. HX
    Hao Xu

    University of Nevada, Reno, United States

    22 publications · 1.1K citations

    18

    h-index

  2. JW
    Jianqing Wu

    University of Nevada, Reno, United States

    15 publications · 745 citations

    14

    h-index

  3. BL
    Bharat Lohani

    Indian Institute of Technology Kanpur, India

    10 publications · 250 citations

    10

    h-index

  4. JL
    Jonathan Li

    University of Waterloo, Canada

    10 publications · 454 citations

    10

    h-index

  5. JZ
    Junxuan Zhao

    University of Nevada, Reno, United States

    7 publications · 333 citations

    9

    h-index

1–5 of 2.9K

Venues

  1. 30

    h-index

  2. Remote Sensing

    56 publications · 2.3K citations

    26

    h-index

  3. Sensors

    23 publications · 4.1K citations

    19

    h-index

  4. 16

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 17 publications · 827 citations

    15

    h-index

1–5