| 一种基于组合RBF网络及混沌理论的弱目标检测算法 |
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| 引用本文： | 潘秀琴,张春华,黄海宁,张洪.一种基于组合RBF网络及混沌理论的弱目标检测算法[J].系统仿真学报,2005,17(5):1208-1211. |
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| 作者姓名： | 潘秀琴 张春华 黄海宁 张洪 |
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| 作者单位： | 1. 中科院声学研究所14室,北京,100080
2. 成都电子科技大学电子工程学院,成都,610054 |
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| 摘 要： | 针对复杂背景中的弱目标检测问题，提出了一种基于组合RBF网络及混沌理论的检测算法。该算法具有结构简单的优点。文中对算法的可实现性及合理性进行了理论分析，建立了基于预测误差优化的非线性预测模型，并结合闽值化处理实现了对弱目标的检测。在理论分析的基础上，对所提出的算法进行了仿真，结果表明了检测算法的有效性。
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| 关 键 词： | 组合RBF网络 混沌 目标检测 非线性预测算法 |
| 文章编号： | 1004-731X(2005)05-1208-04 |
| 修稿时间： | 2004年3月4日 |
An Algorithm of Weak Object Detection Based on Composite RBF Network and Chaotic Theory |
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| PAN Xiu-qin,ZHANG Chun-hua,HUANG Hai-ning,ZHANG Hong.An Algorithm of Weak Object Detection Based on Composite RBF Network and Chaotic Theory[J].Journal of System Simulation,2005,17(5):1208-1211. |
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| Authors: | PAN Xiu-qin ZHANG Chun-hua HUANG Hai-ning ZHANG Hong |
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| Institution: | PAN Xiu-qin1,ZHANG Chun-hua1,HUANG Hai-ning1,ZHANG Hong2 |
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| Abstract: | Aiming at the problem of weak object detection with complex background, a detection algorithm based on composite RBF network and chaotic theory is presented in this paper. the simple strcture is owned by the algorithm. The analysis of realibility and reasonablity of the algorithm is given, and the detection algorithm, combined with the established nonlinear predicting model based on predition error optimum combined as well as the seleted threshold, is realized. On the fundation of theory study, the simulation on the given algorithm is carried out, and the results illustrated that the algorithm is valid. |
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| Keywords: | composite RBF network chaos object detection nonlinear prediction algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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