为了有效地进行SAR图像道路目标自动提取，提出了一种基于遗传算法的SAR图像道路目标自动提取方法。该方法首先通过Frost滤波器去相干斑；然后利用乘性Duda线特征检测算子进行线特征检测，接着利用Radon变换进行线基元提取，再利用遗传算法进行线基元连接；最后利用蛇模型调整道路位置并进行道路鉴别。在星载和机载SAR图像上进行的实验以及性能定量评估结果证明了该方法的有效性。

This paper proposes a new approach for automatic extraction of roads from SAR imagery based on genetic algorithm. We first suppress the speckle by Frost filter, then detect line feature pixels to get potential road pixels. Followed that, extract primitive line segments by Radon transform on every set of connected pixels, and use genetic algorithm to group line segments to get the candidate road segments. Finally ,The snake model is used to adjust the position of the candidate road segments in order to make road segments discrimination using the road’s linear feature more effective. We show the feasibility of the approach not only by presenting reasonable results on airborne and spaceborne SAR images but also by evaluating them quantitatively based on ground truth.