Multi-view Scene Classification
Multi-View Scene Classification is a scene classification paradigm that integrates multiple heterogeneous views or representations of a scene—such as spatial, spectral, or sensor-derived perspectives—into a unified framework to improve categorical recognition accuracy by exploiting complementary information across views.
18
Publications
1.1K
Citations
78
Authors
48
Institutions
Publications per year
2017–2026
13
Parents
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Multivariant technique for multiclass pattern recognition
Charles F. Hester, David Casasent · Applied Optics · 1980 · 388 citations
Scene classification using local and global features with collaborative representation fusion
Jinyi Zou, Wei Li, Chen Chen et al. · Information Sciences · 2016 · 164 citations
Pairwise constraints based multiview features fusion for scene classification
Jun Yu, Dacheng Tao, Yong Rui et al. · Pattern Recognition · 2012 · 124 citations
Multi-view common component discriminant analysis for cross-view classification
Xinge You, Jiamiao Xu, Wei Yuan et al. · Pattern Recognition · 2019 · 71 citations
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Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
79 citations
Tianjin University
Tianjin, China
2 h-index
8 publications
176 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
2 h-index
2 publications
171 citations
Wuhan University
Wuhan, China
2 h-index
3 publications
119 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
64 citations

Beijing Botanical Garden
Beijing, China
1 h-index
1 publications
16 citations
Mississippi State University
Starkville, United States
1 h-index
1 publications
164 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
71 citations
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2 publications · 195 citations
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2 publications · 32 citations
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1 publications · 388 citations
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1 publications · 40 citations
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1 publications · 14 citations
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