基于改进Clean算法的ISAR像目标轮廓提取方法  

Contour Extraction Method of ISAR Image Object Based on Improved Clean Algorithm

作　　者：范宇哲 范林刚 张志衡 陈成增[1,2] FAN Yuzhe;FAN Lingang;ZHANG Zhiheng;CHEN Chengzeng(Beijing Institute of Radio Measurement,Beijing 100854,China;Pinghu Laboratory,Pinghu 314200,China)

机构地区：[1]北京无线电测量研究所,北京100854 [2]平湖实验室,浙江平湖314200

出　　处：《现代防御技术》2025年第2期156-166,共11页Modern Defence Technology

摘　　要：针对逆合成孔径雷达(inverse synthetic aperture radar,ISAR)图像目标轮廓特征提取的现有方法精度不高的问题,提出了一种基于改进Clean算法的ISAR像目标轮廓提取方法。先根据噪声随机出现的特点,建立散射点提取优化函数,并通过迭代Clean方法尽可能提取更多的微弱散射点;针对Clean算法的后处理,采用了基于连通性分析的散射点质量评估方法,对Clean算法提取的散射点进行去噪,并保留目标本体的散射点集;最后对散射点集,使用Alpha-Shape和小波滤波处理获得目标轮廓。仿真和实测数据处理结果表明,所提方法和现有的轮廓提取方法相比,轮廓特征提取精度更高,且抗噪声性能更好。Traditional methods can extract target contour features from inverse synthetic aperture radar(ISAR)images.However,they have the problem of low accuracy.Therefore,this article proposes a target contour extraction method from ISAR images based on an improved Clean algorithm.Based on the random occurrence of noise,this article establishes an optimization function for scattering point extraction,and uses the iterative Clean method to extract as many weak scattering points as possible.A scattering point quality evaluation method based on connectivity analysis is introduced.This method is used in the post-processing of the Clean algorithm.It denoises the points extracted by the Clean algorithm and preserves the scattering points of the target.The scattering point set is processed with alpha-shape and wavelet filtering to get the target contour.The simulation and measured data processing results show that this method gives more accurate contour than existing methods.It also has better noise resistance.

关 键 词：逆合成孔径雷达图像 轮廓提取 CLEAN算法 优化迭代 噪点去除 

分 类 号：TN95[电子电信—信号与信息处理] TJ0[电子电信—信息与通信工程] TP391.9[兵器科学与技术—兵器发射理论与技术]