Change Detection Fusion

Change Detection Fusion is a geospatial data fusion methodology that integrates multi-temporal, multi-source observational data to identify, characterize, and enhance spatial and temporal changes in Earth surface features by combining complementary change detection outputs within a unified analytical framework.

65

Publications

3.2K

Citations

204

Authors

109

Institutions

Publications per year

2017–2026

40

Authors

204

  1. SL
    Sicong Liu

    Tongji University, China

    3 publications · 399 citations

    3

    h-index

  2. ZJ
    Zhenhong Jia

    Xinjiang University, China

    3 publications · 63 citations

    3

    h-index

  3. PD
    Peijun Du

    Nanjing University, China

    3 publications · 399 citations

    3

    h-index

  4. NK
    Nikola Kasabov

    Auckland University of Technology, New Zealand

    2 publications · 33 citations

    2

    h-index

  5. JT
    Jiaojiao Tian

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

    2 publications · 31 citations

    2

    h-index

1–5 of 204

Venues

  1. Remote Sensing

    8 publications · 387 citations

    8

    h-index

  2. 6

    h-index

  3. 5

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 245 citations

    4

    h-index

  5. European Journal of Remote Sensing

    2 publications · 28 citations

    3

    h-index

1–5