Multi-sensor Image Fusion

Multi-Sensor Image Fusion is a remote sensing technique that integrates complementary information from multiple sensor-derived images into a single enhanced representation, distinguished by its ability to overcome limitations of individual sensor modalities through synergistic data combination.

441

Publications

22.2K

Citations

1.3K

Authors

526

Institutions

Publications per year

2017–2026

178

Authors

1.3K

  1. SL
    Shutao Li

    Hunan University, China

    6 publications · 406 citations

    6

    h-index

  2. HS
    Huanfeng Shen

    Wuhan University, China

    5 publications · 244 citations

    5

    h-index

  3. WK
    Weiwei Kong

    Chinese People's Armed Police Force Engineering University, China

    5 publications · 320 citations

    5

    h-index

  4. RS
    Rick S. Blum

    Lehigh University, United States

    5 publications · 185 citations

    5

    h-index

  5. GV
    Gemine Vivone

    National Research Council - Institute of Methodologies for Environmental Analysis, Italy

    5 publications · 787 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. 19

    h-index

  2. 15

    h-index

  3. Remote Sensing

    16 publications · 663 citations

    15

    h-index

  4. International Journal of Remote Sensing

    15 publications · 962 citations

    14

    h-index

  5. IEEE Sensors Journal

    11 publications · 867 citations

    11

    h-index

1–5