Radiance Reconstruction

Radiance Reconstruction is a methodological framework in satellite data calibration that enables the estimation of top-of-atmosphere spectral radiance from raw sensor measurements by correcting for instrumental artifacts, temporal degradation, and viewing geometry effects.

74

Publications

5.5K

Citations

264

Authors

112

Institutions

Publications per year

2017–2026

26

Authors

264

  1. BG
    Baining Guo

    Microsoft Research Asia (China), China

    5 publications · 174 citations

    5

    h-index

  2. PS
    Peter‐Pike Sloan

    Microsoft (United States), United States

    5 publications · 521 citations

    5

    h-index

  3. MZ
    Matthias Zwicker

    University of Maryland, College Park, United States

    3 publications · 136 citations

    3

    h-index

  4. RR
    Ravi Ramamoorthi

    University of California, Berkeley, United States

    3 publications · 104 citations

    3

    h-index

  5. DN
    Derek Nowrouzezahrai

    McGill University, Canada

    3 publications · 136 citations

    3

    h-index

1–5 of 264

Venues

  1. ACM Transactions on Graphics

    TOG · 12 publications · 813 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 82 citations

    4

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 236 citations

    3

    h-index

  4. Atmospheric measurement techniques

    3 publications · 83 citations

    3

    h-index

  5. Computer Graphics Forum

    2 publications · 35 citations

    2

    h-index

1–5