| 引用本文: | 李晓辉,黎湘,郭桂蓉.基于LDA算法的一维距离像特征提取.[J].国防科技大学学报,2005,27(6):72-76.[点击复制] |
| LI Xiaohui,LI Xiang,GUO Guirong.Feature Extraction of HRRP Based on LDA Algorithm[J].Journal of National University of Defense Technology,2005,27(6):72-76[点击复制] |
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| 基于LDA算法的一维距离像特征提取 |
| 李晓辉, 黎湘, 郭桂蓉 |
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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: |
| 在线性分辨分析(LDA)基础上，通过遗传算法寻找Fisher准则下最优的线性映射中心和相应的最优映射，使不同模式在特征空间内具有最大的可分离性，并将该算法用于雷达目标一维距离像特征提取与识别中。实验表明，和原算法相比，新算法在特征提取性能和目标正确识别率上有较大提高，说明了算法的有效性。 |
| 关键词: 目标识别 LDA 遗传算法(GA) 一维距离像 |
| DOI： |
| 投稿日期：2005-06-20 |
| 基金项目: |
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| Feature Extraction of HRRP Based on LDA Algorithm |
| LI Xiaohui, LI Xiang, GUO Guirong |
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(The ATR Lab，National Univ.of Defense Technology,Changsha 410073，China)
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| Abstract: |
| Finding the right features is a key part of a pattern recognition system. This paper presents a linear feature extraction algorithm which research the optimal pattern centers and projection in Fisher's criterion by genetic algorithm(GA).And then the new algorithm is used in the range profile features extraction and recognition. Experiments show that the new algorithms are more effective than LDA in Fisher's function value and classifying results. |
| Keywords: target recognition LDA genetic algorithm(GA) range profile |
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