Temporal Data Fusion is a geospatial data fusion method that integrates observations from multiple temporal states or time points to enhance temporal resolution and consistency, distinguishing itself from other fusion techniques by explicitly addressing temporal dynamics and mismatches in time-series data.
161
Publications
9.6K
Citations
680
Authors
259
Institutions
Publications per year
2017–2026
115
Parents
Publications
161
Spatio-temporal fusion for daily Sentinel-2 images
Qunming Wang, Peter M. Atkinson · Remote Sensing of Environment · 2017 · 376 citations · Full text
Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors
Tao Yu, Zerong Zheng, Kaiwen Guo et al. · 2021 · 324 citations
1–5 of 161
Authors
680
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1–5 of 680
Institutions
259
Chinese Academy of Sciences
Beijing, China
13 h-index
48 publications
3K citations
Tsinghua University
Beijing, China
9 h-index
25 publications
3.8K citations
Huazhong University of Science and Technology
Wuhan, China
8 h-index
15 publications
1.1K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
7 h-index
30 publications
1.3K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
6 h-index
10 publications
1.1K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
5 h-index
26 publications
1.3K citations
Wuhan University
Wuhan, China
5 h-index
15 publications
1.3K citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
252 citations
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Venues
- IEEE Transactions on Geoscience and Remote Sensing
10 publications · 525 citations
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- arXiv (Cornell University)
Repository · 7 publications · 255 citations
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- Information Fusion
5 publications · 239 citations
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- Remote Sensing of Environment
5 publications · 665 citations
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- Remote Sensing
5 publications · 363 citations
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