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.
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.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第6期732-737,共6页
Journal of Tongji University:Natural Science
基金
国家"八六三"高技术研究发展计划资助项目(2003AA133040)
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
real aperture radar image
enhance image matching on fuzzy domain
Radon transform
airport object
