Thermal Data Fusion
Thermal Data Fusion is a data integration methodology that combines thermal remote sensing observations from multiple sources or modalities to enhance spatial, temporal, or radiometric resolution beyond the capabilities of individual inputs.
101
Publications
5.6K
Citations
344
Authors
165
Institutions
Publications per year
2017–2026
57
Parents
101
Merging Thermal And Visual Images By A Contrast Pyramid
L. J. Van Ruyven, J. M. Valeton · Optical Engineering · 1989 · 486 citations
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
Dan Xu, Wanli Ouyang, Elisa Ricci et al. · 2017 · 238 citations · Full text
Wenzhi Liao, Xin Huang, Frieke Van Coillie et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2015 · 235 citations · Full text
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165

Anhui University
Hefei, China
5 h-index
22 publications
1.8K citations
Brno University of Technology
Brno, Czechia
4 h-index
10 publications
211 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
9 publications
595 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
5 publications
535 citations

Agricultural Research Service
Washington, United States
2 h-index
10 publications
1.1K citations
University of Southern California
Los Angeles, United States
2 h-index
6 publications
255 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
6 publications
106 citations
Sri Sivasubramaniya Nadar College of Engineering
Chennai, India
2 h-index
4 publications
98 citations
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5 publications · 254 citations
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5 publications · 96 citations
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4 publications · 57 citations
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2 publications · 50 citations
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2 publications · 174 citations
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