摘要
针对合成孔径雷达(synthetic aperture radar,SAR)图像中道路边缘的特点,提出了一种基于多条件加权法的高分辨率SAR图像道路提取算法。该算法使用FROST滤波抑制相干斑噪声,并使用OSTU算法对高分辨率SAR图像进行二值化,对二值化后的SAR图像进行膨胀与腐蚀,再使用五邻居边缘检测器与多条件加权法提取道路的一个边缘,最终使用桥连接模式提取出完整的道路边缘。实验结果表明,该算法可以消除噪声,消除障碍物的干扰,有效的提取道路边缘。
A road extraction method is proposed for high-resolution SAR image. Firstly, the speckle noise in the SAR image is filtered out. Secondly, the SAP, image is proeessed by OSTU algorithm. Thirdly, the SAR image is processed by dilation and erosion algorithm. Then, five-neighborhood operator and multi-weighted method are adopted to extract one edge of the road. Fi nally, bridge-link mode is used to extract the whole road. Simulation results show that the proposed method can eliminate noise and interferences, and the road is extracted.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第10期3898-3902,共5页
Computer Engineering and Design
