Bathymetric Point Cloud Processing

Bathymetric Point Cloud Processing is a computational methodology that constitutes the systematic refinement, classification, and geometric analysis of three-dimensional point cloud data derived from underwater terrain surveys to accurately represent bathymetric elevation.

62

Publications

2.5K

Citations

257

Authors

119

Institutions

Publications per year

2017–2026

46

Authors

257

  1. TK
    Tomasz Kogut

    Koszalin University of Technology, Poland

    3 publications · 55 citations

    3

    h-index

  2. BR
    Brian R. Calder

    University of New Hampshire, United States

    3 publications · 46 citations

    3

    h-index

  3. JZ
    Jianhu Zhao

    Wuhan University, China

    3 publications · 50 citations

    3

    h-index

  4. MM
    Michele Monego

    University of Padua, Italy

    2 publications · 36 citations

    2

    h-index

  5. PR
    Pere Ridao

    Universitat de Girona, Spain

    2 publications · 28 citations

    2

    h-index

1–5 of 257

Venues

  1. Remote Sensing

    8 publications · 249 citations

    8

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  2. 4

    h-index

  3. 3

    h-index

  4. 3

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  5. Geomorphology

    2 publications · 97 citations

    2

    h-index

1–5