Scene classification using local and global features with collaborative representation fusion

•A scene classification based on collaborative representation fusion is proposed.•The complementary nature of local and global spatial features is investigated.•Weighted fusion is designed based on residuals from two types of features.•Proposed LGF overcomes difficulties residing in feature or decis...

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Veröffentlicht in:	Information sciences Jg. 348; S. 209 - 226
Hauptverfasser:	Zou, Jinyi, Li, Wei, Chen, Chen, Du, Qian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 20.06.2016
Schlagworte:	Classification Collaborative representation-based classification Feature extraction Gray scale Locality-constrained linear coding Partitioning Representations Scene classification Spatial pyramid matching Vector quantization Visual Scene classification Locality-constrained linear coding Collaborative representation-based classification Spatial pyramid matching
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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