Scene Classification

Scene Classification is a computer vision recognition task that assigns an image of a real-world environment to one of a predefined set of scene categories by analyzing the global configuration of visual elements and contextual cues in the entire image rather than focusing on individual objects alone.

2.9K

Publications

254.6K

Citations

8.6K

Authors

1.9K

Institutions

Publications per year

2017–2026

1.8K

Authors

8.6K

  1. LZ
    Liangpei Zhang

    Wuhan University, China

    41 publications · 5.3K citations

    29

    h-index

  2. YZ
    Yanfei Zhong

    Wuhan University, China

    29 publications · 3.2K citations

    25

    h-index

  3. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    22 publications · 13.6K citations

    22

    h-index

  4. GX
    Gui-Song Xia

    Wuhan University, China

    23 publications · 3.9K citations

    18

    h-index

  5. AO
    Aude Oliva

    Massachusetts Institute of Technology, United States

    18 publications · 11.2K citations

    17

    h-index

1–5 of 8.6K

Venues

  1. IEEE Transactions on Geoscience and Remote Sensing

    162 publications · 18.8K citations

    67

    h-index

  2. arXiv (Cornell University)

    Repository · 149 publications · 16.5K citations

    50

    h-index

  3. Remote Sensing

    135 publications · 9K citations

    48

    h-index

  4. Pattern Recognition

    79 publications · 8.1K citations

    37

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 83 publications · 5K citations

    37

    h-index

1–5