摘要
提供了SAR图像中机场跑道自动识别系统,该系统以改进的数学形态学预处理为基础,用改进和扩充的弗里曼链码法初步提取直线,最后用Hough变换精确提取直线,通过对20多幅不同地区、不同波段的图像进行识别,该系统识别准确率达到95%以上,识别时间不超过30 s,基本做到了全自动、实时识别.
The automatic recognition of airport runways in SAR images system is offered based on pretreatment of improved Mathematics Morphology, drawing the straight line tentatively with the improved and expanded chain yard France of Furiman, finally drawing the straight line with Hough Transformation. Discerning to more than 20 pictures of different area, different wave band,the accuracy is more than 95%,the duration does not exceed 30 seconds, basically the automatical and real time recognition is reached.
出处
《武汉理工大学学报（交通科学与工程版）》
2006年第1期56-59,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家"十五"规划项目资助(批准号:41307050802)
关键词
SAR
机场跑道
数学形态学
弗里曼链码法
HOUGH变换
SAR
airport runway
mathematics morphology
chain yard france of furiman
hough transformation
