Cross-sensor Fusion
Cross-Sensor Fusion is a geospatial data fusion technique that integrates observations from heterogeneous sensor types to generate a unified representation by reconciling differences in spatial, spectral, and temporal resolutions.
55
Publications
3.9K
Citations
202
Authors
93
Institutions
Publications per year
2017–2026
24
Parents
55
1–5 of 55
202
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93
Wuhan University
Wuhan, China
2 h-index
9 publications
198 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
226 citations

The University of Adelaide
Adelaide, Australia
2 h-index
2 publications
232 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
458 citations

Universidad Autónoma de Madrid
Madrid, Spain
2 h-index
3 publications
113 citations
Territoires, Environnement, Télédétection et Information Spatiale
Montpellier, France
2 h-index
2 publications
201 citations
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
5 publications
123 citations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Paris, France
2 h-index
2 publications
201 citations
1–8 of 93
3 publications · 211 citations
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3 publications · 289 citations
3
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GRSL · 2 publications · 232 citations
2
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2 publications · 59 citations
2
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2 publications · 83 citations
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1–5