为了有效地进行高分辨率SAR图像中道路目标的提取，提出了一种基于平行线对检测的主干道提取算法。处理过程分为三个层次，在低层次处理中，在经过增强Frost滤波预处理之后，采用指数加权平均比率算子对图像进行边缘检测，得到边缘像素；中层处理则先消除短线段，进行初始的路段连接，再利用平行线对检测算法，检测可能的道路段。而后在高层次处理中，进行路段的最终连接并根据建立的道路的数学模型进行道路的识别，最后通过生长判断器进行行道树干扰下路段的生长。在多幅SAR图像上进行的实验证明了该算法的有效性。

This paper proposes a new approach for extraction of main roads from SAR imagery based on parallel pairs detection. The process is divided into three steps, in the low-level step, after the original SAR imagery is filtered to suppress the speckle noise, Ratio Of Exponentially Weighted Averages(ROEWA) operator is used to detect edge; in the mid-level step, eliminating short lines and linking roads firstly, then the approach of parallel pairs detection is carried out; in the high-level step, after linking the roads, we recognize the roads by the proposed model. Finally, the roads are grown according to the conditions. The experiment results show the feasibility of the approach.