Lidar Data Preprocessing

LiDAR Data Preprocessing is a computational procedure that constitutes the initial stage in LiDAR-based elevation modeling, wherein raw point cloud data are systematically cleaned, classified, and transformed to remove noise, correct errors, and organize spatial information for subsequent terrain analysis.

203

Publications

11.2K

Citations

715

Authors

310

Institutions

Publications per year

2017–2026

75

Authors

715

  1. HX
    Hao Xu

    University of Nevada, Reno, United States

    11 publications · 583 citations

    11

    h-index

  2. JW
    Jianqing Wu

    University of Nevada, Reno, United States

    6 publications · 367 citations

    6

    h-index

  3. BŽ
    Borut Žalik

    University of Maribor, Slovenia

    6 publications · 764 citations

    6

    h-index

  4. SD
    Sylvie Durrieu

    Territoires, Environnement, Télédétection et Information Spatiale

    5 publications · 353 citations

    5

    h-index

  5. IM
    Ina Mattis

    Leibniz Institute for Tropospheric Research, Germany

    4 publications · 301 citations

    4

    h-index

1–5 of 715

Venues

  1. 14

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  2. Remote Sensing of Environment

    9 publications · 1.5K citations

    9

    h-index

  3. Photogrammetric Engineering & Remote Sensing

    8 publications · 465 citations

    8

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  4. 6

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  5. Measurement

    5 publications · 252 citations

    5

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1–5