Elevation Data Generalization

Elevation Data Generalization is a methodological process in terrain surface modeling that systematically reduces the complexity and resolution of elevation data while preserving essential topographic features, distinguishing it from other data simplification techniques through its specific application to Triangulated Irregular Networks.

4

Publications

185

Citations

8

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

8

  1. AH
    Arjen Hofman

    Delft University of Technology, Netherlands

    1 publications · 12 citations

    1

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  2. PV
    Peter van Oosterom

    Delft University of Technology, Netherlands

    1 publications · 12 citations

    1

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  3. AD
    Arta Dilo

    University of Twente, Netherlands

    1 publications · 12 citations

    1

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  4. YC
    Yumin Chen

    Wuhan University, China

    1 publications · 113 citations

    1

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  5. QZ
    Qiming Zhou

    Hong Kong Baptist University, Hong Kong SAR China

    1 publications · 113 citations

    1

    h-index

1–5 of 8

Venues

  1. 1

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  2. 1

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  3. Transactions in GIS

    1 publications · 13 citations

    1

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  4. Computers Environment and Urban Systems

    1 publications · 12 citations

    1

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  5. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 11 citations

1–5