Classification-based Terrain Modeling

Classification-Based Terrain Modeling is a LiDAR data processing methodology that identifies and isolates ground returns through supervised or unsupervised classification techniques to generate accurate digital elevation models.

7

Publications

309

Citations

25

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

25

  1. CB
    Chengchao Bai

    Harbin Institute of Technology, China

    1 publications · 44 citations

    1

    h-index

  2. NC
    Nicholas C. Coops

    University of British Columbia, Canada

    1 publications · 41 citations

    1

    h-index

  3. GS
    Georg S. Ruppert

    Joanneum Research, Austria

    1 publications · 21 citations

    1

    h-index

  4. HV
    H. van Dop

    Royal Netherlands Meteorological Institute, Netherlands

    1 publications · 22 citations

    1

    h-index

  5. JG
    Jifeng Guo

    Harbin Institute of Technology, China

    1 publications · 44 citations

    1

    h-index

1–5 of 25

Venues

  1. Atmospheric Environment (1967)

    1 publications · 22 citations

    1

    h-index

  2. Floresta e Ambiente

    1 publications · 19 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 41 citations

    1

    h-index

  4. University of Twente Research Information

    Repository · 1 publications · 152 citations

    1

    h-index

  5. IEEE Access

    1 publications · 44 citations

    1

    h-index

1–5