Multimodal Image Fusion

Multimodal Image Fusion is an image fusion technique that integrates complementary information from multiple images acquired by different sensing modalities to produce a single, more informative and reliable representation.

1.1K

Publications

79K

Citations

3.3K

Authors

1K

Institutions

Publications per year

2017–2026

686

Authors

3.3K

  1. JM
    Jiayi Ma

    Wuhan University, China

    24 publications · 7.3K citations

    22

    h-index

  2. YL
    Yü Liu

    Hefei University of Technology, China

    19 publications · 5.7K citations

    19

    h-index

  3. WL
    Weisheng Li

    Chongqing University of Posts and Telecommunications, China

    18 publications · 1.7K citations

    17

    h-index

  4. XC
    Xun Chen

    University of Science and Technology of China, China

    15 publications · 4.2K citations

    15

    h-index

  5. JD
    Jiao Du

    Chongqing University of Posts and Telecommunications, China

    14 publications · 1.3K citations

    14

    h-index

1–5 of 3.3K

Venues

  1. Information Fusion

    52 publications · 9.8K citations

    40

    h-index

  2. Biomedical Signal Processing and Control

    33 publications · 1.7K citations

    24

    h-index

  3. 22

    h-index

  4. IEEE Transactions on Image Processing

    21 publications · 5.8K citations

    21

    h-index

  5. IEEE Access

    22 publications · 1.3K citations

    19

    h-index

1–5