首页 | 本学科首页   官方微博 | 高级检索  
     

一种修正的基于混沌预测误差的目标检测算法
引用本文:张亚飞,朱敏慧,谢明鸿.一种修正的基于混沌预测误差的目标检测算法[J].测试技术学报,2007,21(3):236-240.
作者姓名:张亚飞  朱敏慧  谢明鸿
作者单位:1. 中国科学院,电子学研究所,微波成像技术国家重点实验室,北京,100080;中国科学院,研究生院,北京,100049
2. 中国科学院,电子学研究所,微波成像技术国家重点实验室,北京,100080
3. 中国科学院,研究生院,北京,100049
摘    要:基于混沌预测误差的目标检测算法是检测混沌背景下目标的算法.本文对该算法的检测结果进行了分析,分析结果表明其检测到的目标区域比实际的目标区域大.针对这个问题,对基于混沌预测误差的目标检测结果进行了修正,修正后的结果更接近于目标的真实大小.用Lorenz混沌系统产生的仿真数据和实测的机载海面合成孔径雷达(Synthetic Aperture Radar,SAR)图像进行了实验.实验结果与理论分析的结果一致,从而证明了理论分析的正确性.

关 键 词:混沌  神经网络  预测误差  目标检测
文章编号:1671-7449(2007)03-0236-05
收稿时间:2006-12-20
修稿时间:2006年12月20

A Modified Algorithm of Target Detection Based on Chaotic Prediction Error
ZHANG Yafei,ZHU Minhui,XIE Minghong.A Modified Algorithm of Target Detection Based on Chaotic Prediction Error[J].Journal of Test and Measurement Techol,2007,21(3):236-240.
Authors:ZHANG Yafei  ZHU Minhui  XIE Minghong
Abstract:The detection algorithm based on chaotic prediction error is used to detect objects under a chaotic background.The detection result of this algorithm is analyzed in this paper.The analysis result shows that the target region detected according to the algorithm is larger than the actual one.Aiming at the problem,the detection result based on chaotic prediction error is modified.The modified result is much closer to the real size of a target.The experiment was performed with simulation data generated by the Lorenz chaos system and the real ocean image data collected by airborne Synthetic Aperture Radar(SAR).Experimental results accord with that of the theoretical analysis.The validity of theoretical analysis is proved.
Keywords:chaos  neural network  prediction error  target detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号