计算机应用与软件2025，Vol.42Issue(6)：258-264,341,8.DOI:10.3969/j.issn.1000-386x.2025.06.033
基于霍夫变换和粒子滤波的SAR图像道路提取研究
ROAD EXTRACTION OF SAR IMAGE BASED ON HOUGH TRANSFORM AND PARTICLE FILTER
摘要
Abstract
Aimed at the problem that the particle filter algorithm is difficult to automatically initialize seed points in SAR image road extraction,a road extraction method of SAR image based on Hough transform and particle filter is proposed.The method took advantage of ROA operator to detect the edges,extracted the straight road line segments and road intersections in the image using Hough transform and morphological operation respectively,and regarded the endpoints of straight road line segments and road intersections as seed points to complete the subsequent global road tracking and connection according to the improved particle filtering model.The experimental results show that the method can effectively extract a variety of road shapes such as straight lines,curves and intersections without setting initialized particle filter seed points manually.关键词
SAR图像/道路提取/霍夫变换/粒子滤波Key words
SAR image/Road extraction/Hough transform/Particle filter分类
计算机与自动化引用本文复制引用
于瑞锋,徐向辉..基于霍夫变换和粒子滤波的SAR图像道路提取研究[J].计算机应用与软件,2025,42(6):258-264,341,8.基金项目
国家重点研发计划项目(2017YFB0503001). （2017YFB0503001）
