Concepedia

Lidar Data Void Filling

LiDAR Data Void Filling is a computational method designed to reconstruct missing regions in three-dimensional point cloud data acquired by Light Detection and Ranging (LiDAR) systems through the interpolation or synthesis of spatially consistent and geometrically plausible points based on surrounding structural context.

2

Publications

105

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

6

  1. TJ
    Thomas Jordan

    University of Georgia, United States

    1 publications · 27 citations

    1

    h-index

  2. XY
    Xiaobai Yao

    University of Georgia, United States

    1 publications · 27 citations

    1

    h-index

  3. JB
    John B. Coleman

    United States Military Academy, United States

    1 publications · 27 citations

    1

    h-index

  4. DD
    David Doria

    University of Southern California, United States

    1 publications · 78 citations

    1

    h-index

  5. MR
    M. R. Madden

    University of Georgia, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. Rensselaer Polytechnic Institute

    Troy, United States

    1 h-index

    2 publications

    156 citations

  2. University of Georgia

    Athens, United States

    1 h-index

    4 publications

    108 citations

1–2 of 2

Venues

  1. Computers & Geosciences

    CAGEO · 1 publications · 27 citations

    1

    h-index

1–1