Feature-level Image Fusion
Feature-Level Image Fusion is a type of image fusion technique that integrates extracted features from multiple source images into a unified feature representation, preserving complementary information for subsequent analysis or decision-making processes.
532
Publications
31.8K
Citations
1.9K
Authors
637
Institutions
Publications per year
2017–2026
346
Parents
532
A new look at IHS-like image fusion methods
Te‐Ming Tu, Shun-Chi Su, Hsuen-Chyun Shyu et al. · Information Fusion · 2001 · 902 citations
Image fusion: Advances in the state of the art
A. Ardeshir Goshtasby, S.G. Nikolov · Information Fusion · 2006 · 546 citations
1–5 of 532
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Chongqing University of Posts and Telecommunications, China
5 publications · 352 citations
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637

Chinese Academy of Sciences
Beijing, China
17 h-index
57 publications
2.4K citations

Beihang University
Beijing, China
13 h-index
37 publications
2.9K citations

Xidian University
Xi'an, China
13 h-index
49 publications
5.1K citations
Wuhan University
Wuhan, China
13 h-index
36 publications
4.9K citations
Jilin University
Changchun, China
11 h-index
40 publications
1.8K citations
Tsinghua University
Beijing, China
10 h-index
29 publications
1.5K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
9 h-index
29 publications
2.8K citations
Xinjiang University
Ürümqi, China
8 h-index
27 publications
696 citations
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20 publications · 941 citations
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16 publications · 925 citations
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14 publications · 759 citations
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16 publications · 458 citations
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16 publications · 536 citations
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