利用双窗口检测和粒子滤波提取高分辨率SAR图像道路中心点

各种干扰、阻塞以及遮挡的存在使得高分辨率合成孔径雷达图像道路提取异常困难。该文提出一种局部检测和全局跟踪相结合的道路中心点提取方法。在局部检测时,设定内外双窗口,外窗口根据护栏、绿化带等干扰物与道路的边缘呈现一致的方向性,采用非线性结构张量获取该区域内的道路方向;内窗口根据方向结果调整转向,搜索道路区域,进而确定道路的宽度及中心点。在全局跟踪阶段,为克服路上阻塞及路旁建筑物遮挡造成跟踪频繁失败的影响,采用粒子滤波器变步长跟踪的策略。使用1 m机载高分辨率SAR图像进行实验,结果证明该方法的有效性。

Road Center-point Extraction from High Resolution SAR Images Using Double Windows Detection and Particle Filtering

It is extremely difficult to extract road from high-resolution SAR images because of the existence of various kinds of disturbances,occlusions and shadowing.A new road center-point extraction method is proposed by combined using local detection and global tracking.In local detection phase,two windows are set.The outside window is used to obtain the local road direction by using non-linear structure tensor,based on the fact that fences,green belts and other disturbances point to a consistent direction with the edge of roads.The inside window adjusts its direction by the result of non-linear structure tensor.Then it searches for the road areas,and determines the width and center of roads.In global tracking phase,particle filter of variable-step is used for solving the problem of tracking broken frequently by occlusions on the road and shadowing alongside the road.In 1 m high-resolution airborne SAR image experiment,the results indicate that this method is effective.