Remote Sensing Data Fusion

Remote Sensing Data Fusion is the systematic integration of data from multiple remote sensing sources or modalities into a unified representation that enhances information content, accuracy, or interpretability beyond what individual sources can achieve independently.

1.1K

Publications

67.9K

Citations

3.3K

Authors

1K

Institutions

Publications per year

2017–2026

571

Authors

3.3K

  1. QD
    Qian Du

    Mississippi State University, United States

    18 publications · 2.4K citations

    18

    h-index

  2. LZ
    Liangpei Zhang

    Wuhan University, China

    18 publications · 1.3K citations

    18

    h-index

  3. BH
    Bo Huang

    Chinese University of Hong Kong, Hong Kong SAR China

    17 publications · 1.7K citations

    16

    h-index

  4. JC
    Jocelyn Chanussot

    Institut polytechnique de Grenoble, France

    15 publications · 2.3K citations

    14

    h-index

  5. FG
    Feng Gao

    Agricultural Research Service, United States

    14 publications · 2.8K citations

    14

    h-index

1–5 of 3.3K

Venues

  1. IEEE Transactions on Geoscience and Remote Sensing

    124 publications · 13.1K citations

    58

    h-index

  2. Remote Sensing

    105 publications · 4.7K citations

    39

    h-index

  3. International Journal of Remote Sensing

    74 publications · 4.8K citations

    32

    h-index

  4. 30

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 44 publications · 3.7K citations

    29

    h-index

1–5