现代电子技术2016，Vol.39Issue(23)：1-4,4.DOI:10.16652/j.issn.1004-373x.2016.23.001
基于Canny-ROA算子和Hough变换的SAR图像道路检测
Canny-ROA operator and Hough transform based road detection according to SAR image
摘要
Abstract
A road extraction algorithm according to high⁃resolution synthetic aperture radar(SAR)image is proposed. The FROST filtering is conducted for SAR image to eliminate the coherent speckle noise. The Canny operator and ratio of average (ROA)operator are fused to extract the peripheral points,and compensate the information of the image edge. And then the pa⁃rallel filtering is used to filter out the influence of the related ground objects on road detection. The Hough transform is used to extract the line feature,and connect the broken lines. The experimental results show that the proposed algorithm can effectively filter out the influence of fence and other ground objects,and has good detection effect on straight road.关键词
合成孔径雷达/道路检测/Canny-ROA算子/Hough变换/平行线滤波Key words
synthetic aperture radar/road detection/Canny-ROA operator/Hough transform/parallel filtering分类
信息技术与安全科学引用本文复制引用
付凯城,张竹馨,曲毅..基于Canny-ROA算子和Hough变换的SAR图像道路检测[J].现代电子技术,2016,39(23):1-4,4.基金项目
国家自然科学基金青年科学基金资助项目 （）
