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Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification
Huiwu Luo; Yuan Yan Tang; Lina Yang
2015
Source PublicationMathematical Problems in Engineering
ISSN1024-123X
Volume2015
Other Abstract

The computational procedure of hyperspectral image (HSI) is extremely complex, not only due to the high dimensional information, but also due to the highly correlated data structure. The need of effective processing and analyzing of HSI has met many difficulties. It has been evidenced that dimensionality reduction has been found to be a powerful tool for high dimensional data analysis. Local Fisher's liner discriminant analysis (LFDA) is an effective method to treat HSI processing. In this paper, a novel approach, called PD-LFDA, is proposed to overcome the weakness of LFDA. PD-LFDA emphasizes the probability distribution (PD) in LFDA, where the maximum distance is replaced with local variance for the construction of weight matrix and the class prior probability is applied to compute the affinity matrix. The proposed approach increases the discriminant ability of the transformed features in low dimensional space. Experimental results on Indian Pines 1992 data indicate that the proposed approach significantly outperforms the traditional alternatives.

DOIhttp://dx.doi.org/10.1155/2015/145136
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Mathematics
WOS SubjectEngineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000350128400001
PublisherHINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA
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Document TypeJournal article
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYuan Yan Tang
AffiliationDepartment of Computer and Information Science, University of Macau, Avenida Padre Tomas Pereira, Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
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Huiwu Luo,Yuan Yan Tang,Lina Yang. Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification[J]. Mathematical Problems in Engineering,2015,2015.
APA Huiwu Luo,Yuan Yan Tang,&Lina Yang.(2015).Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification.Mathematical Problems in Engineering,2015.
MLA Huiwu Luo,et al."Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification".Mathematical Problems in Engineering 2015(2015).
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