Spatio-temporal Filtering

Spatio-Temporal Filtering is a computational method that belongs to the class of spatio-temporal analysis techniques, distinguished by its ability to selectively extract or enhance spatial patterns and temporal dynamics simultaneously while suppressing noise or irrelevant variations in spatial time series data.

515

Publications

25.1K

Citations

1.6K

Authors

636

Institutions

Publications per year

2017–2026

113

Authors

1.6K

  1. LB
    L.T. Bruton

    University of Calgary, Canada

    9 publications · 180 citations

    9

    h-index

  2. AG
    Alexander Glantz

    Technische Universität Berlin, Germany

    4 publications · 55 citations

    4

    h-index

  3. AK
    Andreas Krutz

    Technische Universität Berlin, Germany

    4 publications · 55 citations

    4

    h-index

  4. MT
    Mickaël Tanter

    Centre National de la Recherche Scientifique, France

    4 publications · 316 citations

    4

    h-index

  5. MF
    Mathias Fink

    Centre National de la Recherche Scientifique, France

    4 publications · 316 citations

    4

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Image Processing

    18 publications · 1K citations

    15

    h-index

  2. 13

    h-index

  3. 12

    h-index

  4. Remote Sensing

    7 publications · 557 citations

    7

    h-index

  5. Journal of Neural Engineering

    5 publications · 177 citations

    5

    h-index

1–5