Remote Sensing Segmentation

Remote Sensing Segmentation is a specialized form of semantic segmentation that involves the pixel-level classification of objects or land cover types in imagery acquired through remote sensing technologies, such as satellite or aerial sensors, distinguished by its focus on geospatial data with large-scale, multi-spectral, and often multi-temporal characteristics.

1.2K

Publications

79.8K

Citations

3.9K

Authors

988

Institutions

Publications per year

2017–2026

815

Authors

3.9K

  1. XS
    Xian Sun

    Chinese Academy of Sciences, China

    15 publications · 790 citations

    15

    h-index

  2. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    14 publications · 698 citations

    13

    h-index

  3. XZ
    Xueliang Zhang

    Nanjing University, China

    13 publications · 2.9K citations

    13

    h-index

  4. PX
    Pengfeng Xiao

    Nanjing University, China

    12 publications · 555 citations

    12

    h-index

  5. ZS
    Zhenwei Shi

    Beihang University, China

    12 publications · 825 citations

    12

    h-index

1–5 of 3.9K

Venues

  1. 60

    h-index

  2. Remote Sensing

    188 publications · 9.6K citations

    50

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 76 publications · 7.5K citations

    36

    h-index

  4. 34

    h-index

  5. ISPRS Journal of Photogrammetry and Remote Sensing

    42 publications · 13.9K citations

    34

    h-index

1–5