| 一种合成孔径雷达图像特征提取与目标识别的新方法 |
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| 引用本文： | 宦若虹,杨汝良,岳晋.一种合成孔径雷达图像特征提取与目标识别的新方法[J].电子与信息学报,2008,30(3):554-558. |
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| 作者姓名： | 宦若虹 杨汝良 岳晋 |
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| 作者单位： | 1. 中国科学院电子学研究所,北京,100080;中国科学院研究生院,北京,100039
2. 中国科学院电子学研究所,北京,100080 |
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| 摘 要： | 该文提出了一种利用小波域主成分分析和支持向量机进行的合成孔径雷达图像特征提取与目标识别的新方法。该方法对图像小波分解后提取低频子带图像的主成分分量作为目标的特征，利用支持向量机进行分类完成目标识别。实验结果表明，该方法可以明显提高目标的正确识别率，是一种有效的合成孔径雷达图像特征提取和目标识别方法。
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| 关 键 词： | 合成孔径雷达 小波变换 主成分分析 支持向量机 识别 |
| 文章编号： | 1009-5896(2008)03-0554-05 |
| 收稿时间： | 2006-8-15 |
| 修稿时间： | 2006年8月15日 |
A New Method for Synthetic Aperture Radar Images Feature Extraction and Target Recognition |
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| Huan Ruo-hong,Yang Ru-liang,Yue-Jin.A New Method for Synthetic Aperture Radar Images Feature Extraction and Target Recognition[J].Journal of Electronics & Information Technology,2008,30(3):554-558. |
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| Authors: | Huan Ruo-hong Yang Ru-liang Yue-Jin |
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| Affiliation: | Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; Graduate 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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| Keywords: | Synthetic Aperture Radar (SAR) Wavelet transform Principal Component Analysis (PCA) Support Vector Machine (SVM) Recognition |
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