Aerial Image Segmentation

Aerial Image Segmentation is a specialized form of semantic segmentation that categorizes pixels in high-resolution aerial imagery according to distinct geographic or man-made features, differentiating itself from other semantic segmentation tasks by its focus on overhead views and unique challenges such as scale variability, viewpoint invariance, and dense urban structures.

528

Publications

32.9K

Citations

1.9K

Authors

607

Institutions

Publications per year

2017–2026

417

Authors

1.9K

  1. KF
    Kun Fu

    Chinese Academy of Sciences, China

    13 publications · 1.2K citations

    13

    h-index

  2. XS
    Xian Sun

    Chinese Academy of Sciences, China

    12 publications · 742 citations

    12

    h-index

  3. GX
    Gui-Song Xia

    Wuhan University, China

    9 publications · 1.1K citations

    9

    h-index

  4. WD
    Wenhui Diao

    Chinese Academy of Sciences, China

    9 publications · 472 citations

    9

    h-index

  5. BP
    Biswajeet Pradhan

    University of Technology Sydney, Australia

    7 publications · 491 citations

    7

    h-index

1–5 of 1.9K

Venues

  1. Remote Sensing

    78 publications · 4.3K citations

    37

    h-index

  2. 29

    h-index

  3. 16

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 23 publications · 4.1K citations

    16

    h-index

  5. IEEE Access

    16 publications · 707 citations

    14

    h-index

1–5