Cross-sensor Fusion

Cross-Sensor Fusion is a geospatial data fusion technique that integrates observations from heterogeneous sensor types to generate a unified representation by reconciling differences in spatial, spectral, and temporal resolutions.

55

Publications

3.9K

Citations

202

Authors

93

Institutions

Publications per year

2017–2026

24

Authors

202

  1. PJ
    Patrick J. Flynn

    University of Notre Dame, United States

    2 publications · 64 citations

    2

    h-index

  2. MG
    Massimiliano Gargiulo

    Federico II University Hospital, Italy

    2 publications · 201 citations

    2

    h-index

  3. KW
    Kevin W. Bowyer

    University of Notre Dame, United States

    2 publications · 64 citations

    2

    h-index

  4. AM
    Antonio Mazza

    Federico II University Hospital, Italy

    2 publications · 201 citations

    2

    h-index

  5. AS
    Amanda Sgroi

    University of Notre Dame, United States

    2 publications · 64 citations

    2

    h-index

1–5 of 202

Venues

  1. 3

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  2. 3

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  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 2 publications · 232 citations

    2

    h-index

  4. Information Fusion

    2 publications · 59 citations

    2

    h-index

  5. 2

    h-index

1–5