Pixel-level Fusion

Pixel-Level Fusion is a data fusion technique that operates by combining raw sensor measurements at the finest spatial resolution to produce a fused output wherein each pixel integrates information from multiple sources while preserving the original spatial detail.

228

Publications

16.8K

Citations

756

Authors

292

Institutions

Publications per year

2017–2026

92

Authors

756

  1. SL
    Shutao Li

    Hunan University, China

    5 publications · 1.8K citations

    5

    h-index

  2. CX
    C.S. Xydeas

    University of Manchester, United Kingdom

    5 publications · 2.2K citations

    5

    h-index

  3. DB
    David Bull

    University of Bristol, United Kingdom

    4 publications · 925 citations

    4

    h-index

  4. VP
    Vladimir Petrović

    Institute of Public Health of Vojvodina, Serbia

    4 publications · 2.1K citations

    4

    h-index

  5. YZ
    Yi Zhou

    University of North Texas, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 756

Venues

  1. 10

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  2. 10

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  3. IEEE Transactions on Image Processing

    9 publications · 685 citations

    8

    h-index

  4. Information Fusion

    8 publications · 3.8K citations

    8

    h-index

  5. International Journal of Image and Data Fusion

    5 publications · 882 citations

    5

    h-index

1–5