Elevation Data Fusion

Elevation Data Fusion is the integration of heterogeneous elevation data sources into a unified representation through algorithmic synthesis, distinguished by its ability to enhance spatial accuracy and completeness beyond individual input datasets.

30

Publications

872

Citations

101

Authors

39

Institutions

Publications per year

2017–2026

6

Authors

101

  1. LZ
    Liangpei Zhang

    Wuhan University, China

    2 publications · 79 citations

    2

    h-index

  2. ML
    Marie Lachaise

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 25 citations

    2

    h-index

  3. MS
    Michael Schmitt

    Technical University of Munich, Germany

    2 publications · 55 citations

    2

    h-index

  4. PR
    Peter Reinartz

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 49 citations

    2

    h-index

  5. TF
    Thomas Fritz

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 25 citations

    2

    h-index

1–5 of 101

Venues

  1. International Journal of Remote Sensing

    3 publications · 55 citations

    3

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Australian Journal of Earth Sciences

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5