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
Parents
74
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg et al. · 2023 · 471 citations
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Binbin Huang, Zehao Yu, Anpei Chen et al. · 2024 · 450 citations · Full text
Artifact-free High Dynamic Range imaging
Orazio Gallo, Natasha Gelfandz, Wei-Chao Chen et al. · 2009 · 231 citations
1–5 of 74
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112
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
5 h-index
6 publications
505 citations

Zhejiang University
Hangzhou, China
4 h-index
7 publications
189 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
10 publications
265 citations
ShanghaiTech University
Shanghai, China
4 h-index
11 publications
3.3K citations
Walt Disney (United States)
Burbank, United States
4 h-index
14 publications
570 citations
University of Bern
Bern, Switzerland
3 h-index
3 publications
136 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
420 citations
Columbia University
New York, United States
3 h-index
10 publications
323 citations
1–8 of 112
TOG · 12 publications · 813 citations
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Repository · 4 publications · 82 citations
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TVCG · 3 publications · 236 citations
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3 publications · 83 citations
3
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2 publications · 35 citations
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