| 引用本文: | 马君国,赵宏钟,李保国,等.基于二维小波变换的空间目标识别算法.[J].国防科技大学学报,2006,28(1):57-61.[点击复制] |
| MA Junguo,ZHAO Hongzhong,LI Baoguo,et al.Space Target Recognition Algorithm Based on Two-dimensional Wavelet Transform[J].Journal of National University of Defense Technology,2006,28(1):57-61[点击复制] |
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| 基于二维小波变换的空间目标识别算法 |
| 马君国, 赵宏钟, 李保国, 王远模 |
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(国防科技大学ATR实验室，湖南 长沙 410073)
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| 摘要: |
| 对于空间目标识别这个具有挑战性的研究课题，提出了基于二维小波变换的空间目标识别算法。该算法首先对空间目标的ISAR像进行二维小波变换，然后从近似分量和细节分量中提取奇异值特征，最后应用径向基函数(RBF)神经网络进行分类识别。计算机仿真实验表明，该算法取得了比较好的识别效果。 |
| 关键词: 空间目标识别 ISAR 小波变换 奇异值 |
| DOI： |
| 投稿日期：2005-10-11 |
| 基金项目:国家部委资助项目 |
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| Space Target Recognition Algorithm Based on Two-dimensional Wavelet Transform |
| MA Junguo, ZHAO Hongzhong, LI Baoguo, WANG Yuanmo |
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(ATR Lab，National Univ. of Technology Defense, Changsha 410073，China)
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| Abstract: |
| Regarding the fact that space target recognition is a challenging research problem, this paper proposes a space target recognition algorithm based on the two-dimensional wavelet transform. Firstly, the two-dimension wavelet transform of ISAR image of space target was proceeded. Then singular value feature was extracted from approximate and detail parts. Finally, the radial base function(RBF) neural network was used to classify space targets. Computer simulation shows that such an algorithm achieves good recognition effect. |
| Keywords: space target recognition ISAR wavelet transform singular value |
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