Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification
Li, Haichang; Xiang, Shiming; Zhong, Zisha; Ding, Kun; Pan, Chunhong; haichang516@gmail.com
2015-08-01
发表期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷号12期号:8页码:1660-1664
文章类型Article
摘要A new unsupervised spatial-spectral feature selection method for hyperspectral images has been proposed in this letter. The key idea is to select the features that better preserve the multicluster structure of the multiple spatial-spectral features. Specifically, the multicluster structure information is obtained through spectral clustering utilizing a weighted combination of the multiple features. Then, such information is preserved in a group-sparsity- based robust linear regression model. The features that contribute more in preserving the multicluster structure information are selected. Comparative experiments on two popular real hyperspectral images validate the effectiveness of the proposed method, showing higher classification accuracy.
关键词Clustering Feature Selection Hyperspectral Spatial-spectral
WOS标题词Science & Technology ; Physical Sciences ; Technology
关键词[WOS]BAND SELECTION ; REGRESSION
收录类别SCI
语种英语
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000356542100014
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7916
专题模式识别国家重点实验室_先进数据分析与学习
通讯作者haichang516@gmail.com
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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GB/T 7714
Li, Haichang,Xiang, Shiming,Zhong, Zisha,et al. Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2015,12(8):1660-1664.
APA Li, Haichang,Xiang, Shiming,Zhong, Zisha,Ding, Kun,Pan, Chunhong,&haichang516@gmail.com.(2015).Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,12(8),1660-1664.
MLA Li, Haichang,et al."Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 12.8(2015):1660-1664.
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