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Road and Linear Structure Automatic Extraction from Remote Sensing Images Using Marked Point Process

机译:使用标记点过程从遥感图像中自动提取道路和线性结构

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Automatic extraction of road and linear structure from remote sensing images is a very important problem. This paper uses a stochastic geometric model for automatic extraction of line network (roads, rivers...) from remotely sensing images. The line network in the observed scene is modeled by marked point process. Firstly, the thick branches are detected using a segment process. Secondly, a polygon tree is derived from this first result to represent the main part of the line network. Finally, new branch lines are extracted using a recursive algorithm based on the modeling of the descendants of a given branch line by a polyline process in the neighborhood of this branch line. Experimental results show the relevance of the object process models.
机译:从遥感图像中自动提取道路和线性结构是一个非常重要的问题。本文使用随机几何模型从遥感图像中自动提取线网络(道路,河流等)。通过标记点过程对观察场景中的线网络进行建模。首先,使用分段过程检测粗枝。其次,从该第一结果派生出多边形树,以表示线网的主要部分。最后,基于给定分支线后代的建模,使用递归算法通过该分支线附近的折线处理来提取新的分支线。实验结果表明了对象过程模型的相关性。

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