Information-theoretic Fusion
Information-Theoretic Fusion is a decision-level fusion method that integrates multiple information sources by leveraging information-theoretic measures, such as entropy, mutual information, or divergence metrics, to optimize the combination process based on the quantification of uncertainty and statistical dependence among modalities.
545
Publications
30.2K
Citations
1.5K
Authors
632
Institutions
Publications per year
2017–2026
174
Parents
545
Information measure for performance of image fusion
Qu Guihong, Dali Zhang, Yan Pingfan · Electronics Letters · 2002 · 1.4K citations · Full text
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University of Electronic Science and Technology of China, China
12 publications · 743 citations
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University of Electronic Science and Technology of China
Chengdu, China
15 h-index
33 publications
1.7K citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
11 h-index
19 publications
569 citations

Northwestern Polytechnical University
Xi'an, China
11 h-index
38 publications
1.1K citations

Xi'an Jiaotong University
Xi'an, China
9 h-index
14 publications
576 citations
Lockheed Martin (United States)
Bethesda, United States
9 h-index
13 publications
307 citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
17 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
16 publications
1K citations
Office National d'Études et de Recherches Aérospatiales
Palaiseau, France
8 h-index
10 publications
392 citations
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44 publications · 2.7K citations
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13 publications · 697 citations
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11 publications · 789 citations
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12 publications · 314 citations
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8 publications · 212 citations
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