Multiscale Classification

Multiscale Classification is a computational framework that systematically categorizes patterns or entities across multiple spatial, temporal, or organizational scales by integrating hierarchical scale-specific features to enable accurate discrimination in complex, multi-resolution data environments.

99

Publications

7.3K

Citations

360

Authors

173

Institutions

Publications per year

2017–2026

42

Authors

360

  1. RG
    Richard G. Baraniuk

    Rice University, United States

    3 publications · 105 citations

    3

    h-index

  2. HC
    Hyeokho Choi

    Rice University, United States

    3 publications · 105 citations

    3

    h-index

  3. SP
    Sylvie Philipp‐Foliguet

    Centre National de la Recherche Scientifique, France

    3 publications · 124 citations

    3

    h-index

  4. RD
    Ricardo da Silva Torres

    Universidade Estadual de Campinas (UNICAMP), Brazil

    3 publications · 124 citations

    3

    h-index

  5. HC
    Haiyong Chen

    Hebei University of Technology, China

    2 publications · 221 citations

    2

    h-index

1–5 of 360

Venues

  1. 10

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 85 citations

    5

    h-index

  3. Remote Sensing

    4 publications · 87 citations

    4

    h-index

  4. 4

    h-index

  5. International Journal of Remote Sensing

    3 publications · 150 citations

    3

    h-index

1–5