Feature-level Image Fusion

Feature-Level Image Fusion is a type of image fusion technique that integrates extracted features from multiple source images into a unified feature representation, preserving complementary information for subsequent analysis or decision-making processes.

532

Publications

31.8K

Citations

1.9K

Authors

637

Institutions

Publications per year

2017–2026

346

Authors

1.9K

  1. XB
    Xiangzhi Bai

    Beihang University, China

    7 publications · 184 citations

    7

    h-index

  2. HL
    Huafeng Li

    Kunming University of Science and Technology, China

    6 publications · 369 citations

    6

    h-index

  3. YC
    Yi Chai

    Chongqing University, China

    6 publications · 352 citations

    6

    h-index

  4. SY
    Shuyuan Yang

    Xidian University, China

    5 publications · 407 citations

    5

    h-index

  5. WL
    Weisheng Li

    Chongqing University of Posts and Telecommunications, China

    5 publications · 352 citations

    5

    h-index

1–5 of 1.9K

Venues

  1. IEEE Access

    20 publications · 941 citations

    16

    h-index

  2. Infrared Physics & Technology

    16 publications · 925 citations

    15

    h-index

  3. 14

    h-index

  4. Optik

    16 publications · 458 citations

    13

    h-index

  5. Multimedia Tools and Applications

    16 publications · 536 citations

    13

    h-index

1–5