Multiscale Reconstruction

Multiscale Reconstruction is a computational framework that integrates data or signals across multiple spatial or temporal scales to recover or infer underlying structures, distinguished from other reconstruction methods by its explicit modeling of hierarchical scale dependencies.

138

Publications

9.8K

Citations

497

Authors

270

Institutions

Publications per year

2017–2026

57

Authors

497

  1. RW
    Rebecca Willett

    Duke University, United States

    4 publications · 144 citations

    4

    h-index

  2. SF
    Stefano Ferrari

    University of Milan, Italy

    4 publications · 169 citations

    4

    h-index

  3. MM
    Mauro Maggioni

    Duke University, United States

    3 publications · 180 citations

    3

    h-index

  4. NA
    N. Alberto Borghese

    University of Milan, Italy

    3 publications · 151 citations

    3

    h-index

  5. AS
    Alan S. Willsky

    Massachusetts Institute of Technology, United States

    3 publications · 163 citations

    3

    h-index

1–5 of 497

Venues

  1. IEEE Geoscience and Remote Sensing Letters

    GRSL · 6 publications · 161 citations

    6

    h-index

  2. IEEE Transactions on Image Processing

    5 publications · 2.8K citations

    5

    h-index

  3. 4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 44 citations

    3

    h-index

  5. Journal of Computational Physics

    3 publications · 91 citations

    3

    h-index

1–5