Concepedia

Terrain-object Separation

Terrain-Object Separation is a methodological framework in remote sensing and geospatial analysis that distinguishes between bare earth topography and above-ground features within digital surface models by classifying and partitioning elevation data into terrain and object components based on morphological, contextual, or geometric criteria.

5

Publications

110

Citations

12

Authors

5

Institutions

Publications per year

2017–2026

0

Parents

Publications

5

<title>Extracting objects from digital terrain models</title>

W. Eckstein, Olaf Muenkelt · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995 · 34 citations

, , +17

Rapid extraction and updating of road network from airborne LiDAR data

Jiaping Zhao, Suya You, Jing Huang · 2011 · 34 citations

, , +16

A hierarchical procedure for segmentation and classification of airborne LIDAR images

Hossein Arefi, Michael Hahn · 2005 · 16 citations

, , +16

Fusion of digital terrain models and texture for object extraction

W. Eckstein, Carsten Steger · 1996 · 13 citations

, , +16

A cluster-based morphological filter for geospatial data analysis

Zheng Cui, Keqi Zhang, Chengcui Zhang et al. · 2013 · 13 citations

, , +15

1–5 of 5

Authors

12

  1. WE
    W. Eckstein

    Max Planck Institute for Plasma Physics, Germany

    2 publications · 47 citations

    2

    h-index

  2. ZC
    Zheng Cui

    Florida International University, United States

    1 publications · 13 citations

    1

    h-index

  3. MH
    Michael Hahn

    Stuttgart Technical University of Applied Sciences, Germany

    1 publications · 16 citations

    1

    h-index

  4. SY
    Suya You

    University of Southern California, United States

    1 publications · 34 citations

    1

    h-index

  5. HA
    Hossein Arefi

    University of Tehran, Iran

    1 publications · 16 citations

    1

    h-index

1–5 of 12

Institutions

5

  1. Technical University of Munich

    Munich, Germany

    1 h-index

    2 publications

    26 citations

  2. University of Alabama at Birmingham

    Birmingham, United States

    1 h-index

    1 publications

    13 citations

  3. University of Southern California

    Los Angeles, United States

    1 h-index

    3 publications

    102 citations

  4. Florida International University

    Miami, United States

    1 h-index

    3 publications

    39 citations

  5. Stuttgart Technical University of Applied Sciences

    Stuttgart, Germany

    1 h-index

    2 publications

    32 citations

  6. University of Reading

    Reading, United Kingdom

    1 publications

    10 citations

1–6 of 5

Venues

  1. 1

    h-index

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