计算机工程2011，Vol.37Issue(12)：201-203,3.DOI:10.3969/j.issn.1000-3428.2011.12.068
基于合成孔径雷达图像的机场主跑道检测方法
Airport Main Track Detection Method Based on Synthetic Aperture Radar Image
摘要
Abstract
Aiming at the problem of the Iow accuracy of conventional airport main track detection method, this paper presents a method of the airport targets detection for Synthetic Aperture Radar(SAR) images.It uses Fuzzy C-Means(FCM) clustering to segment the airport.It utilizes morphology filtering and removing the connected domains whose number of pixels is less than the threshold to remove some interfering targets in the background.Then it uses Hough transform to detect lines in the edge image.The postprocessing is based on the characteristic that the runways of the airport are parallel pairs and the fusion method.Experimental result indicates that the algorithm can detect the runways of the airport successfully, and it has significant practical value.关键词
合成孔径雷达图像/机场检测/模糊C均值算法/形态学滤波/Hough变换Key words
Synthefc Aperture Radar(SAR) image/ airport detection/ Fuzzy C-Means(FCM) algorithm/ morphology filtering/ Hough transform分类
信息技术与安全科学引用本文复制引用
胡霍真,田金文..基于合成孔径雷达图像的机场主跑道检测方法[J].计算机工程,2011,37(12):201-203,3.基金项目
国家自然科学基金资助项目(60873107) （60873107）
航天支撑基金资助项目(20081397) （20081397）
