Hyperspectral Data Fusion

Hyperspectral Data Fusion is a geospatial data fusion method that integrates hyperspectral imagery with other data sources by leveraging the high spectral resolution of hyperspectral sensors to enhance information extraction and classification accuracy.

571

Publications

37.5K

Citations

1.6K

Authors

601

Institutions

Publications per year

2017–2026

394

Authors

1.6K

  1. JC
    Jocelyn Chanussot

    Institut polytechnique de Grenoble, France

    24 publications · 4.8K citations

    22

    h-index

  2. QD
    Qian Du

    Mississippi State University, United States

    21 publications · 1.9K citations

    18

    h-index

  3. YL
    Yunsong Li

    Xidian University, China

    14 publications · 522 citations

    16

    h-index

  4. GV
    Gemine Vivone

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

    12 publications · 1.2K citations

    13

    h-index

  5. WS
    Weiwei Sun

    Ningbo University, China

    11 publications · 524 citations

    13

    h-index

1–5 of 1.6K

Venues

  1. 50

    h-index

  2. 28

    h-index

  3. Remote Sensing

    35 publications · 1.6K citations

    24

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 27 publications · 2.3K citations

    20

    h-index

  5. Information Fusion

    11 publications · 1.3K citations

    13

    h-index

1–5