![](/images/graphics-bg.png)
Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification
Joint Authors
Yang, Lina
Luo, Huiwu
Tang, Yuan Yan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-12
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Luo, Huiwu& Tang, Yuan Yan& Yang, Lina. 2015. Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1072992
Modern Language Association (MLA)
Luo, Huiwu…[et al.]. Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification. Mathematical Problems in Engineering No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1072992
American Medical Association (AMA)
Luo, Huiwu& Tang, Yuan Yan& Yang, Lina. Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1072992
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072992