Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction

	Local Patch Discriminative Metric Learning for Hyperspectral Image Feature Extraction
	Zhang, Qian1 ; Zhang, Lefei 2; Yang, Yiping1 ; Tian, Yuan1 ; Weng, Lubin1
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2014-03-01
卷号	11 期号:3 页码:612-616
关键词	Feature extraction hyperspectral classification local patch metric learning
英文摘要	In 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.
WOS标题词	Science & Technology ; Physical Sciences ; Technology
类目[WOS]	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
研究领域[WOS]	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]	NONLINEAR DIMENSIONALITY REDUCTION
收录类别	SCI
语种	英语
WOS记录号	WOS:000332182600006
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3055]
专题	自动化研究所_空天信息研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China
推荐引用方式 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.