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为了有效地进行高分辨率SAR图像中道路目标的提取,提出一种基于平行线对检测的主干道提取算法。处理过程分为3个层次,在低层次处理中,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;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。 更多还原

【Abstract】 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,short lines and linking roads are eliminated firstly,and then the approach of parallel pair detection is carried out.In the high-level step,after li...