Point Cloud-based Surface Modeling

Point Cloud-Based Surface Modeling is a computational method in geospatial analysis that generates digital surface models by interpolating or reconstructing three-dimensional terrain surfaces directly from unstructured point cloud data acquired via remote sensing technologies.

204

Publications

9.8K

Citations

679

Authors

276

Institutions

Publications per year

2017–2026

73

Authors

679

  1. NA
    Nina Amenta

    University of California, Davis, United States

    3 publications · 423 citations

    3

    h-index

  2. NJ
    Niloy J. Mitra

    University College London, United Kingdom

    3 publications · 751 citations

    3

    h-index

  3. YJ
    Yong J. Kil

    Protein Metrics (United States), United States

    3 publications · 423 citations

    3

    h-index

  4. FR
    Fabio Remondino

    Fondazione Bruno Kessler, Italy

    3 publications · 221 citations

    3

    h-index

  5. PA
    Philip Azariadis

    University of the Aegean, Greece

    3 publications · 103 citations

    3

    h-index

1–5 of 679

Venues

  1. Remote Sensing

    8 publications · 1.2K citations

    8

    h-index

  2. 7

    h-index

  3. Automation in Construction

    6 publications · 315 citations

    6

    h-index

  4. 5

    h-index

  5. Measurement

    5 publications · 109 citations

    5

    h-index

1–5