Multi-scale Spatial Features

Multi-Scale Spatial Features is a spatial representation construct that captures geographic or geometric patterns at multiple levels of spatial resolution or aggregation, enabling the modeling of heterogeneous spatial processes by differentiating local, regional, and global configurations within a unified framework.

705

Publications

41.9K

Citations

2.7K

Authors

806

Institutions

Publications per year

2017–2026

624

Authors

2.7K

  1. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    7 publications · 1K citations

    7

    h-index

  2. WL
    Wei Li

    Beijing Institute of Technology, China

    4 publications · 218 citations

    5

    h-index

  3. LW
    Lizhe Wang

    China University of Geosciences, China

    5 publications · 275 citations

    5

    h-index

  4. XZ
    Xiaoling Zhang

    University of Electronic Science and Technology of China, China

    3 publications · 95 citations

    4

    h-index

  5. LZ
    Liangpei Zhang

    Wuhan University, China

    4 publications · 389 citations

    4

    h-index

1–5 of 2.7K

Venues

  1. Remote Sensing

    49 publications · 2.1K citations

    28

    h-index

  2. 22

    h-index

  3. IEEE Access

    34 publications · 1.1K citations

    21

    h-index

  4. Sensors

    19 publications · 503 citations

    17

    h-index

  5. arXiv (Cornell University)

    Repository · 33 publications · 1.1K citations

    17

    h-index

1–5