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| A New Method for Synthetic Aperture Radar Images Feature Extraction and Target Recognition |
| Huan Ruo-hong①②; Yang Ru-liang①; Yue-Jin①② |
| ①Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; ②Graduate University of the Chinese Academy of Sciences, Beijing 100039, China |
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Abstract This paper presents a new method for synthetic aperture radar images feature extraction and target recognition which based on principal component analysis in wavelet domain and support vector machine. After wavelet decomposition of a SAR image, feature extraction is implemented by picking up principal component of the low-frequency sub-band image. Then, support vector machine is used to perform target recognition. Results are presented to verify that, the correctness of recognition is enhanced obviously, and the method presented in this paper is a effective method for SAR images feature extraction and target recognition.
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Received: 15 August 2006
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2008, Vol. 30 
