Cloud Scene Segmentation

Cloud Scene Segmentation is a remote sensing image analysis method that classifies spatially resolved regions of satellite or aerial imagery into distinct cloud-related categories based on radiometric, textural, and structural features to delineate cloud formations and their components within a scene.

23

Publications

1.1K

Citations

69

Authors

27

Institutions

Publications per year

2017–2026

20

Authors

69

  1. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    6 publications · 209 citations

    6

    h-index

  2. HL
    Haifeng Lin

    Nanjing Forestry University, China

    5 publications · 133 citations

    5

    h-index

  3. YH
    Yee Hui Lee

    Nanyang Technological University, Singapore

    3 publications · 100 citations

    3

    h-index

  4. SD
    Soumyabrata Dev

    University College Dublin, Ireland

    3 publications · 100 citations

    3

    h-index

  5. SW
    Stefan Winkler

    University of Illinois Urbana-Champaign, United States

    3 publications · 100 citations

    3

    h-index

1–5 of 69

Venues

  1. Remote Sensing

    4 publications · 156 citations

    4

    h-index

  2. Atmospheric measurement techniques

    2 publications · 126 citations

    2

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 21 citations

    1

    h-index

  4. Solar Energy

    2 publications · 82 citations

    1

    h-index

  5. Neural Computing and Applications

    1 publications · 55 citations

    1

    h-index

1–5