Learning Discriminative Sparse Representations for Hyperspectral Image Classification

CORC > 南海海洋研究所 > 中国科学院南海海洋研究所 > 热带海洋环境国家重点实验室(LTO)

	Learning Discriminative Sparse Representations for Hyperspectral Image Classification
	Du, Peijun; Xue, Zhaohui; Li, Jun; Plaza, Antonio
刊名	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
	2015
卷号	9 期号:6 页码:1089-1104
关键词	Hyperspectral image classification discriminative sparse representation (DSR) total variation (TV) dictionary learning sparse multinomial logistic regression (SMLR)
通讯作者	xzh2012@163.com
中文摘要	In sparse representation (SR) driven hyperspectral image classification, signal-to-reconstruction rule-based classification may lack generalization performance. In order to overcome this limitation, we presents a new method for discriminative sparse representation of hyperspectral data by learning a reconstructive dictionary and a discriminative classifier in a SR model regularized with total variation (TV). The proposed method features the following components. First, we adopt a spectral unmixing by variable splitting augmented Lagrangian and TV method to guarantee the spatial homogeneity of sparse representations. Second, we embed dictionary learning in the method to enhance the representative power of sparse representations via gradient descent in a class-wise manner. Finally, we adopt a sparse multinomial logistic regression (SMLR) model and design a class-oriented optimization strategy to obtain a powerful classifier, which improves the performance of the learnt model for specific classes. The first two components are beneficial to produce discriminative sparse representations. Whereas, adopting SMLR allows for effectively modeling the discriminative information. Experimental results with both simulated and real hyperspectral data sets in a number of experimental comparisons with other related approaches demonstrate the superiority of the proposed method.
学科主题	Engineering
收录类别	SCI
内容类型	期刊论文
源URL	[http://ir.scsio.ac.cn/handle/344004/15039]
专题	南海海洋研究所_热带海洋环境国家重点实验室(LTO)
推荐引用方式 GB/T 7714	Du, Peijun,Xue, Zhaohui,Li, Jun,et al. Learning Discriminative Sparse Representations for Hyperspectral Image Classification[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,2015,9(6):1089-1104.
APA	Du, Peijun,Xue, Zhaohui,Li, Jun,&Plaza, Antonio.(2015).Learning Discriminative Sparse Representations for Hyperspectral Image Classification.IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,9(6),1089-1104.
MLA	Du, Peijun,et al."Learning Discriminative Sparse Representations for Hyperspectral Image Classification".IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 9.6(2015):1089-1104.