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Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction
Zhang, Qian1; Zhang, Lefei2; Yang, Yiping1; Tian, Yuan1; Weng, Lubin1
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2014-03-01
Volume11Issue:3Pages:612-616
SubtypeArticle
AbstractIn hyperspectral image (HSI) classification, feature extraction is one important step. Traditional methods, e. g., principal component analysis (PCA) and locality preserving projection, usually neglect the information of within-class similarity and between-class dissimilarity, which is helpful to the improvement of classification. On the other hand, most of these methods, e. g., PCA and linear discriminative analysis, consider that the HSI data lie on a low-dimensional manifold or each class is on a submanifold. However, some class data of HSI may lie on a multimanifold. To avoid these problems, we propose a method for feature extraction in HSIs, assuming that a local region resides on a submainfold. In our method, we deal with the data region by region by taking into account the different discriminative locality information. Then, under the metric learning framework, a robust distance metric is learned. It aims to learn a subspace in which the samples in the same class are as near as possible while the samples in different classes are as far as possible. Encouraging experimental results on two available hyperspectral data sets indicate that our proposed algorithm outperforms many existing feature extract methods for HSI classification.
KeywordFeature Extraction Hyperspectral Classification Local Patch Metric Learning
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS KeywordNONLINEAR DIMENSIONALITY REDUCTION
Indexed BySCI
Language英语
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000332182600006
Citation statistics
Cited Times:19[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3055
Collection空天信息研究中心
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang, Qian,Zhang, Lefei,Yang, Yiping,et al. Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2014,11(3):612-616.
APA Zhang, Qian,Zhang, Lefei,Yang, Yiping,Tian, Yuan,&Weng, Lubin.(2014).Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,11(3),612-616.
MLA Zhang, Qian,et al."Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 11.3(2014):612-616.
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