Multi-view Scene Classification

Multi-View Scene Classification is a scene classification paradigm that integrates multiple heterogeneous views or representations of a scene—such as spatial, spectral, or sensor-derived perspectives—into a unified framework to improve categorical recognition accuracy by exploiting complementary information across views.

18

Publications

1.1K

Citations

78

Authors

48

Institutions

Publications per year

2017–2026

13

Authors

78

  1. DT
    Dacheng Tao

    The University of Sydney, Australia

    2 publications · 195 citations

    2

    h-index

  2. XH
    Xiayuan Huang

    Chinese Academy of Sciences, China

    1 publications · 16 citations

    1

    h-index

  3. SA
    Shan An

    Jingdong (China), China

    1 publications · 34 citations

    1

    h-index

  4. WY
    Wei Yuan

    Huazhong University of Science and Technology, China

    1 publications · 71 citations

    1

    h-index

  5. WZ
    Wei Zhu

    Beihang University, China

    1 publications · 19 citations

    1

    h-index

1–5 of 78

Venues

  1. Pattern Recognition

    2 publications · 195 citations

    2

    h-index

  2. 2

    h-index

  3. Applied Optics

    1 publications · 388 citations

    1

    h-index

  4. Knowledge and Information Systems

    1 publications · 40 citations

    1

    h-index

  5. 1

    h-index

1–5