SAR场景图像中车辆目标的自动识别

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (7): 1596-1601,1638.

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Automatic vehicle target recognition in full SAR image scenes

PAN Zhuo^1,2, GAO Xin¹, WANG Yan-fei¹, WANG Bin-hui³, XIE Jian-hong^1,2

1. Inst. of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China;
3. School of Mathematical Sciences, Beijing Normal Univ., Beijing 100875, China

Received:2008-03-18 Revised:2008-09-03 Online:2009-07-20 Published:2010-01-03

Abstract

Abstract: A new method is presented for automatic target recognition in full synthetic aperture radar(SAR) image scenes.As SAR target classification is sensitive to target’s azimuth,based on correlation filter theory and kernel feature analysis,a nonlinear correlation filter is provided,it can tolerate a distortion of target’s azimuth.The novel filter exploits eigenvectors to reduce the dependence of the training set and extends the linear combination of eigenvectors nonlinearly to improve the classification performance.Moreover,to keep the computation tractable in high dimensional space,the kernel function is employed.The tests using MSTAR database demonstrate the scheme is practical and the novel filter implements target classification efficiently and accurately without templates and target poses estimation.

CLC Number:

TP753

PAN Zhuo, GAO Xin, WANG Yan-fei, WANG Bin-hui, XIE Jian-hong. Automatic vehicle target recognition in full SAR image scenes[J]. Journal of Systems Engineering and Electronics, 2009, 31(7): 1596-1601,1638.

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Automatic vehicle target recognition in full SAR image scenes

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