Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition
Joint Authors
Lin, Chuang
Wang, Binghui
Zhao, Xuefeng
Pang, Meng
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Different kernels cause various class discriminations owing to their different geometrical structures of the data in the feature space.
In this paper, a method of kernel optimization by maximizing a measure of class separability in the empirical feature space with sparse representation-based classifier (SRC) is proposed to solve the problem of automatically choosing kernel functions and their parameters in kernel learning.
The proposed method first adopts a so-called data-dependent kernel to generate an efficient kernel optimization algorithm.
Then, a constrained optimization function using general gradient descent method is created to find combination coefficients varied with the input data.
After that, optimized kernel PCA (KOPCA) is obtained via combination coefficients to extract features.
Finally, the sparse representation-based classifier is used to perform pattern classification task.
Experimental results on MSTAR SAR images show the effectiveness of the proposed method.
American Psychological Association (APA)
Lin, Chuang& Wang, Binghui& Zhao, Xuefeng& Pang, Meng. 2013. Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010938
Modern Language Association (MLA)
Lin, Chuang…[et al.]. Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010938
American Medical Association (AMA)
Lin, Chuang& Wang, Binghui& Zhao, Xuefeng& Pang, Meng. Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target Recognition. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010938
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010938