Data Fusion

Data Fusion is a method in remote sensing image analysis that integrates complementary information from multiple data sources or sensor modalities to produce a more accurate, consistent, and useful representation than that achievable from any individual source alone.

7.6K

Publications

415.4K

Citations

22.8K

Authors

4.3K

Institutions

Publications per year

2017–2026

3.3K

Authors

22.8K

  1. EB
    Erik Blasch

    United States Air Force Research Laboratory, United States

    43 publications · 2.5K citations

    27

    h-index

  2. JC
    Jocelyn Chanussot

    Institut polytechnique de Grenoble, France

    36 publications · 7.4K citations

    23

    h-index

  3. PK
    Pramod K. Varshney

    Syracuse University, United States

    25 publications · 3.5K citations

    22

    h-index

  4. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    34 publications · 1.8K citations

    21

    h-index

  5. YW
    Yuanzhong Wang

    Yunnan Academy of Agricultural Sciences, China

    29 publications · 1.1K citations

    20

    h-index

1–5 of 22.8K

Venues

  1. IEEE Transactions on Geoscience and Remote Sensing

    225 publications · 27.6K citations

    80

    h-index

  2. Information Fusion

    148 publications · 19.8K citations

    68

    h-index

  3. Remote Sensing

    238 publications · 10.5K citations

    52

    h-index

  4. Sensors

    216 publications · 8.9K citations

    50

    h-index

  5. International Journal of Remote Sensing

    109 publications · 8.2K citations

    42

    h-index

1–5