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基于Radon变换的机场目标检测与定位算法
引用本文:陈映鹰,邵永社.基于Radon变换的机场目标检测与定位算法[J].同济大学学报(自然科学版),2006,34(6):732-737.
作者姓名:陈映鹰  邵永社
作者单位:同济大学,测量与国土信息工程系,上海,200092
摘    要:为了提高影像匹配的可靠性,提出一种实孔径雷达影像中机场目标精确定位的算法.采用模糊处理技术对原始影像进行增强,使得机场目标在影像背景中较为突出,并利用Radon变换检测到机场跑道方向线;基于机场的有关知识,检测到机场跑道的两个端点及宽度;利用得到的机场目标信息对原始实孔径雷达影像进行处理,并用该影像与相同地区的合成孔径雷达基准图进行匹配,得到了满意的效果.

关 键 词:实孔径雷达影像  模糊增强  Radon变换  机场目标  影像匹配
文章编号:0253-374X(2006)06-0732-06
收稿时间:11 19 2004 12:00AM
修稿时间:2004-11-19

A Radon Transform-Based Algorithm for the Detection and Matching of Airport Objects
CHEN Yingying,SHAO Yongshe.A Radon Transform-Based Algorithm for the Detection and Matching of Airport Objects[J].Journal of Tongji University(Natural Science),2006,34(6):732-737.
Authors:CHEN Yingying  SHAO Yongshe
Institution:Department of Surveying and Geoinformatics, Tongji University, Shanghai 200092, China
Abstract:In order to improve the dependability of the image matching, the paper presents an algorithm that improves the precision of airport objects position for the real aperture radar images. First, the original real aperture radar image is enhanced on fuzzy domain that makes the airport objects more prominent in the image and easier for detection. Then, the direction of airport runway is detected with the Radon transform, and two endpoints of the airport runway and its width are recognised. Finally, on the basis of the obtained airport information the real aperture radar image is matched with the synthetical aperture radar image. The experiments show that the method can achieve a satisfying result.
Keywords:real aperture radar image  enhance image matching on fuzzy domain  Radon transform  airport object  
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