现代防御技术2025，Vol.53Issue(2)：156-166,11.DOI:10.3969/j.issn.1009-086x.2025.02.017
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
范宇哲 1范林刚 1张志衡 1陈成增2
作者信息
- 1. 北京无线电测量研究所,北京 100854
- 2. 北京无线电测量研究所,北京 100854||平湖实验室,浙江 平湖 314200
- 折叠
摘要
Abstract
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Key words
inverse synthetic aperture radar(ISAR)image/contour extraction/Clean algorithm/optimized iteration/noise point removal分类
电子信息工程引用本文复制引用
范宇哲,范林刚,张志衡,陈成增..基于改进Clean算法的ISAR像目标轮廓提取方法[J].现代防御技术,2025,53(2):156-166,11.
