Geospatial Data Fusion
Geospatial Data Fusion is the integration of heterogeneous spatially referenced data from multiple sources or modalities into a unified representation, distinguished by its explicit consideration of geographic context, scale, and spatiotemporal relationships to enhance accuracy, completeness, and interpretability in geospatial analysis.
999
Publications
53.7K
Citations
3.1K
Authors
986
Institutions
Publications per year
2017–2026
570
999
Multiresolution-based image fusion with additive wavelet decomposition
J. Núñez, Xavier Otazu, O. Fors et al. · IEEE Transactions on Geoscience and Remote Sensing · 1999 · 1.1K citations · Full text
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986
Wuhan University
Wuhan, China
29 h-index
155 publications
9.1K citations

Chinese Academy of Sciences
Beijing, China
29 h-index
174 publications
7.2K citations
Technical University of Munich
Munich, Germany
21 h-index
60 publications
2.5K citations
University of Chinese Academy of Sciences
Beijing, China
20 h-index
78 publications
2.5K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
20 h-index
61 publications
3.3K citations
China University of Geosciences
Wuhan, China
20 h-index
70 publications
3.4K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
20 h-index
69 publications
3.9K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
19 h-index
67 publications
3.6K citations
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59 publications · 7.5K citations
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75 publications · 3.5K citations
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23 publications · 3.7K citations
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32 publications · 2.2K citations
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21 publications · 1.9K citations
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