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基于图像分块和线段投票的遥感道路边缘线提取

DOI: 10.6046/gtzyyg.2015.01.09, PP. 55-61

Keywords: 边缘检测,道路提取,方向模板,图像分块,直线段投票,受限膨胀

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Abstract:

从遥感图像中提取边缘线是一个经典的课题,不同的边缘提取算法适用于不同类型的图像。实际图像中道路的几何形状不甚规则,因受到建筑和树木遮挡导致对比度较低且噪声影响较严重,道路边缘线会发生断裂,故高分辨率遥感图像道路边缘线提取一直是一个研究热点。针对现有方法很难提取出清晰连续的道路边缘线问题,提出一种遥感图像道路边缘线提取新方法:首先通过方向模板检测边缘点,搜索出分块图像中的子线段;然后延伸子线段并进行投票,连接处于弯曲边缘线的直线段,将长度大于特定阈值的边缘线作为输出结果;最后去除毛刺和分叉,取8个方向道路的并集作为最终道路网。实验结果表明,该方法能够从高分辨率遥感图像中较好地提取带有一定曲率、对比度较低、噪声影响严重的道路边缘线。

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