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Semi-automatic road centerline extraction in high-resolution SAR images based on circular template matching

机译:基于圆形模板匹配的高分辨率SAR图像半自动道路中心线提取

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Because of the disturb of trees along roads, buildings to cover, cars getting on the road an etc, it is difficult to automatically extract centerline of roads from high-resolution SAR images. This paper presents a new semi-automatic road centerline extraction method based on circular template matching. Firstly, circular template and the road orientation are calculated by user-given input two points. Secondly, center points are searched by matching the template against the image along the orientation of the road under consideration. Finally, the extracted center points are linked by quadratic curve fitting. Human interactions are needed when center points searching failed. SAR images with 1 meter resolution taken by airborne SAR were used in the experiment. And the results show that the centerline extraction method mentioned above is effective in high resolution SAR images.
机译:由于沿路树木,要覆盖的建筑物,上路的汽车等的干扰,很难从高分辨率SAR图像中自动提取道路中心线。提出了一种基于圆形模板匹配的半自动道路中心线提取方法。首先,通过用户输入的两点计算圆形模板和道路方向。其次,通过使模板与所考虑道路的方向上的图像相匹配来搜索中心点。最后,通过二次曲线拟合将提取的中心点链接起来。当中心点搜索失败时,需要进行人机交互。实验中使用了机载SAR拍摄的分辨率为1米的SAR图像。结果表明,上述中心线提取方法在高分辨率SAR图像中是有效的。

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