基于遗传算法的SAR图像自动道路提取  

Automatic Road Extraction from SAR Imagery Based on Genetic Algorithm

作　　者：贾承丽[1] 赵凌君[1] 吴其昌[2] 匡纲要[1] 

机构地区：[1]国防科技大学电子科学与工程学院三系,湖南长沙410073 [2]北京市遥感信息研究所,北京100085

出　　处：《中国图象图形学报》2008年第6期1134-1142,共9页Journal of Image and Graphics

摘　　要：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 llne 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.

关 键 词：SAR图像 道路提取 遗传算法 线基元提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]