Kernel generalized neighbor discriminant embedding for SAR automatic target recognition-Reference-Cited by-同舟云学术

Kernel generalized neighbor discriminant embedding for SAR automatic target recognition

Published:2014-05-19 Issue:1 Volume:2014 Page:
ISSN:1687-6180
Container-title:EURASIP Journal on Advances in Signal Processing
language:en
Short-container-title:EURASIP J. Adv. Signal Process.

Author:

Huang Yulin,Pei Jifang,Yang Jianyu,Wang Tao,Yang Haiguang,Wang Bing

Abstract

Abstract In this paper, we propose a new supervised feature extraction algorithm in synthetic aperture radar automatic target recognition (SAR ATR), called generalized neighbor discriminant embedding (GNDE). Based on manifold learning, GNDE integrates class and neighborhood information to enhance discriminative power of extracted feature. Besides, the kernelized counterpart of this algorithm is also proposed, called kernel-GNDE (KGNDE). The experiment in this paper shows that the proposed algorithms have better recognition performance than PCA and KPCA.

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/1687-6180-2014-72.pdf

Reference10 articles.

1. Mishra AK, Mulgrew B: Bistatic SAR ATR Using PCA-based Features. In Proceedings of the SPIE 6234, Automatic Target Recognition XVI. United Kingdom: University of Edinburgh; 18 May 2006, doi:10.1117/12.664117

2. Mishra AK: Validation of PCA and LDA for SAR ATR. Paper presented at IEEE Region 10 Conference. Guwahati: IIT Guwahati; 19–21 Nov 2008

3. Gunn SR: Support Vector Machines for Classification and Regression. Technical Report: Analyst, University of Southampton; 2010. doi:10.1039/B918972F

4. Zhao Q, Principe JC: Support vector machines for SAR automatic target recognition. IEEE Trans. Aerosp. Electron. Syst. 2001, 2: 643-654.

5. Li Y, Zhang XQ, Bai BD, Zhang YN: Information Compression and Speckle Reduction for Multifrequency Polarimetric SAR Imagery using KPCA. Paper presented at the 2007 International Conference on Machine Learning and Cybernetics. Xi’an: Northwest Polytechnical University; 19–22 Aug 2007

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