| 基于快速密度搜索聚类算法的极化HRRP分类方法 |
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| 引用本文： | 吴佳妮, 陈永光, 代大海, 陈思伟, 王雪松. 基于快速密度搜索聚类算法的极化HRRP分类方法[J]. 电子与信息学报, 2016, 38(10): 2461-2467. doi: 10.11999/JEIT151457 |
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| 作者姓名： | 吴佳妮 陈永光 代大海 陈思伟 王雪松 |
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| 作者单位： | 1.(国防科学技术大学电子信息系统复杂电磁环境效应国家重点实验室 长沙 410073) ②(北京跟踪与通信技术研究所 北京 100094) |
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| 基金项目： | 国家自然科学基金项目(61302143, 61490693, 41301490)，国家高技术研究发展计划(863计划)(2013AA122202) |
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| 摘 要： | 该文针对人造目标的极化高分辨距离像，提出一种基于快速密度搜索聚类算法的分类方法。首先根据散射结构在频率和极化维度的特性，对散射中心的类型进行判别，在此基础上构造目标分类的特征矢量。然后采用快速密度搜索聚类算法，实现目标的分类。仿真实验结果表明，文中构建的特征矢量能较好地描述目标的结构属性，具有较强的可分性。而快速密度搜索聚类算法简单高效，在人造目标的分类识别中具有极大的应用潜力。
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| 关 键 词： | 极化高分辨距离像 散射中心 快速密度搜索 目标分类 |
| 收稿时间： | 2015-12-24 |
| 修稿时间： | 2016-06-08 |
Target Recognition for Polarimetric HRRP Based on Fast Density Search Clustering Method |
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| WU Jiani, CHEN Yongguang, DAI Dahai, CHEN Siwei, WANG Xuesong. Target Recognition for Polarimetric HRRP Based on Fast Density Search Clustering Method[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2461-2467. doi: 10.11999/JEIT151457 |
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| Authors: | WU Jiani CHEN Yongguang DAI Dahai CHEN Siwei WANG Xuesong |
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| Affiliation: | 1. (State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China);;2. (Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China) |
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| Abstract: | A classification algorithm based on the fast density search clustering method is proposed for polarimetric High Resolution Range Profile (HRRP) of man-made target. The polarization and frequency features are used to discriminate scattering centers in order to obtain the feature vectors for target classification. After that, the fast density search clustering method is applied to classifying the man-made target. The experiments show that the feature vectors for target classification can describe the structural properties of the target and can easily be classified. The fast density search clustering method operates simply and efficiently and can be applied to the man-made target classification with excellent performance. |
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| Keywords: | Polarimetric High Resolution Range Profile (HRRP) Scattering center Fast density search Target classification |
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