Space-time Filtering

Space-Time Filtering is a computational method that integrates spatial and temporal dimensions to selectively extract, smooth, or enhance patterns in data by distinguishing relevant spatiotemporal signals from noise or irrelevant variations.

55

Publications

3.2K

Citations

154

Authors

74

Institutions

Publications per year

2017–2026

7

Authors

154

  1. TO
    Takashi Ohira

    Toyohashi University of Technology, Japan

    2 publications · 40 citations

    2

    h-index

  2. XL
    Xiang Li

    National University of Defense Technology, China

    2 publications · 51 citations

    2

    h-index

  3. HW
    Hongqiang Wang

    National University of Defense Technology, China

    2 publications · 51 citations

    2

    h-index

  4. KY
    Kehu Yang

    China University of Mining and Technology, China

    2 publications · 40 citations

    2

    h-index

  5. LB
    L.T. Bruton

    University of Calgary, Canada

    2 publications · 34 citations

    2

    h-index

1–5 of 154

Venues

  1. 2

    h-index

  2. Signal Processing

    2 publications · 52 citations

    2

    h-index

  3. Journal of Climate

    1 publications · 18 citations

    1

    h-index

  4. Computers in Biology and Medicine

    1 publications · 18 citations

    1

    h-index

  5. Remote Sensing of Environment

    1 publications · 330 citations

    1

    h-index

1–5