Geospatial Computer Vision

Geospatial Computer Vision is a subfield of computer vision that specializes in the analysis and interpretation of visual data from Earth observation systems, distinguished by its integration of geographic context and spatial reasoning to extract semantic information from georeferenced imagery.

1.9K

Publications

114.4K

Citations

5.9K

Authors

1.5K

Institutions

Publications per year

2017–2026

1.1K

Authors

5.9K

  1. YZ
    Yanfei Zhong

    Wuhan University, China

    17 publications · 1.7K citations

    17

    h-index

  2. NJ
    Nathan Jacobs

    University of Kentucky, United States

    16 publications · 1.2K citations

    14

    h-index

  3. RZ
    Roger Zimmermann

    National University of Singapore, Singapore

    17 publications · 522 citations

    14

    h-index

  4. LZ
    Liangpei Zhang

    Wuhan University, China

    14 publications · 1.8K citations

    14

    h-index

  5. SN
    Shawn Newsam

    University of California, Merced, United States

    15 publications · 3.6K citations

    12

    h-index

1–5 of 5.9K

Venues

  1. Remote Sensing

    193 publications · 10.7K citations

    57

    h-index

  2. IEEE Transactions on Geoscience and Remote Sensing

    117 publications · 11.2K citations

    52

    h-index

  3. 43

    h-index

  4. 40

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 67 publications · 3.8K citations

    30

    h-index

1–5