Concepedia

Ground Point Classification

Ground Point Classification is a methodological process in LiDAR-based elevation modeling that identifies and categorizes individual laser return points as belonging to the bare Earth surface, distinguishing them from non-ground points such as vegetation, buildings, or noise.

31

Publications

1.3K

Citations

104

Authors

42

Institutions

Publications per year

2017–2026

19

Parents

Publications

31

SEGMENTATION BASED ROBUST INTERPOLATION - A NEW APPROACH TO LASER DATA FILTERING

D. Tóvári, Norbert Pfeifer · 2005 · 182 citations

, , +13

Deep-Learning-Based Classification for DTM Extraction from ALS Point Cloud

Xiangyun Hu, Yi Yuan · Remote Sensing · 2016 · 164 citations · Full text

, , +15

Multi-Target Tracking using a 3D-Lidar sensor for autonomous vehicles

Jaebum Choi, Simon Ulbrich, Bernd Lichte et al. · 2013 · 111 citations

, , +16

A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data

Wei-Lwun Lu, Kevin P. Murphy, James J. Little et al. · IEEE Transactions on Geoscience and Remote Sensing · 2009 · 72 citations

, , +17

A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments

Shichao Jin, Yanjun Su, Xiaoqian Zhao et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2020 · 63 citations · Full text

, , +17

1–5 of 31

Authors

104

  1. XH
    Xiangyun Hu

    China University of Geosciences, China

    2 publications · 183 citations

    2

    h-index

  2. JH
    Juha Hyyppä

    Finnish Geospatial Research Institute, Finland

    2 publications · 106 citations

    2

    h-index

  3. RL
    Roderik Lindenbergh

    Delft University of Technology, Netherlands

    2 publications · 67 citations

    2

    h-index

  4. AN
    Abdul Nurunnabi

    CRC for Spatial information, Australia

    2 publications · 53 citations

    2

    h-index

  5. DB
    David Belton

    Curtin University, Australia

    2 publications · 35 citations

    2

    h-index

1–5 of 104

Institutions

42

  1. Delft University of Technology

    Delft, The Netherlands

    3 h-index

    3 publications

    249 citations

  2. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    14 publications

    649 citations

  3. Curtin University

    Perth, Australia

    2 h-index

    6 publications

    105 citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    6 publications

    351 citations

  5. Universidade de Vigo

    Vigo, Spain

    2 h-index

    7 publications

    160 citations

  6. Technische Universität Braunschweig

    Braunschweig, Germany

    2 h-index

    7 publications

    492 citations

  7. Finnish Geospatial Research Institute

    Espoo, Finland

    2 h-index

    8 publications

    440 citations

  8. Shandong Institute of Automation

    Jinan, China

    2 h-index

    9 publications

    334 citations

1–8 of 42

Venues

  1. Remote Sensing

    7 publications · 370 citations

    7

    h-index

  2. 4

    h-index

  3. 4

    h-index

  4. Sensors

    2 publications · 60 citations

    2

    h-index

  5. International Journal of Digital Earth

    1 publications · 19 citations

    1

    h-index

1–5