Scene classification using local and global features with collaborative representation fusion
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- 作者：Jinyi Zoua ; Wei Li ; a ; liwei089@ieee.org" class="auth_mail" title="E-mail the corresponding author ; leewei36@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Chen Chenb ; Qian Duc
- 关键词：Scene classification ; Locality-constrained linear coding ; Spatial pyramid matching ; Collaborative representation-based classification
- 刊名：Information Sciences
- 出版年：2016
- 出版时间：20 June 2016
- 年：2016
- 卷：348
- 期：Complete
- 页码：209-226
- 全文大小：2755 K
文摘
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A scene classification based on collaborative representation fusion is proposed.
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The complementary nature of local and global spatial features is investigated.
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Weighted fusion is designed based on residuals from two types of features.
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Proposed LGF overcomes difficulties residing in feature or decision level fusion.