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An Approach for Road Extraction from High Resolution Imagery Based on Radon-Like Features and Mathematical Morphology

机译:基于Rad样特征和数学形态学的高分辨率图像道路提取方法

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Road Extraction from high resolution imagery is of fundamental importance in the context of spatial data capturing and updating for GIS applications. In this paper we present a new approach for extracting roads from high resolution imagery using Radon-like features and mathematical morphology. In this approach first image is preprocessed using bilateral filter and then Radon-like features are used to enhance the road edges. Finally roads are extracted using morphological operations. The method is successfully implemented using high resolution satellite and areal imagery.
机译:从高分辨率图像提取道路对于GIS应用程序进行空间数据捕获和更新至关重要。在本文中,我们提出了一种新的方法,该方法使用类似于Radon的特征和数学形态学从高分辨率图像中提取道路。在这种方法中,首先使用双边滤镜对图像进行预处理,然后使用类似于Radon的特征来增强道路边缘。最后,使用形态学运算提取道路。该方法已成功使用高分辨率卫星和平面图像实现。

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