Joint sparse model-based discriminative K-SVD for hyperspectral image classification

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• 作者：Ziyu Wang^a ; ^c ; ^{ziyu.wang.12@ucl.ac.uk} ; Jianxiong Liu^b ; ^{mydendrobium@hotmail.com} ; Jing-Hao Xue^c ; ^{jinghao.xue@ucl.ac.uk}
• 关键词：Dictionary learning ; Classification ; Hyperspectral images (HSI) ; Joint sparse model (JSM) ; Discriminative K-SVD ; SOMP
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：144-155
• 全文大小：1790 K
• 卷排序：133

文摘

A novel dictionary learning method for HSI classification is proposed. Rich spectral and spatial information are incorporated into the dictionaries. The JSM is combined with D-KSVD to accommodate the rich information. Extensive experimental results show the effectiveness of the proposed method.