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Tubularity tracking based automatic road detection from sattelite images

机译:基于管状度跟踪的卫星图像自动道路检测

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In this paper, a novel approach based on tubularity tracking and graph cuts for road detection from satellites images is presented. The most important feature of the proposed method is its local peak detection filter. Unlike the tubularity based road or road like curvilinear structure detection methods presented in the literature, proposed method samples local peaks from tubularity image by tracking the peak points based on Bayesian filtering in order to construct graphs and introduces no significant computational complexity.
机译:在本文中,提出了一种基于管状度跟踪和图割的​​卫星图像道路检测的新方法。所提出方法的最重要特征是其局部峰值检测滤波器。与文献中提出的基于管状的道路或类似曲线的道路结构检测方法不同,所提出的方法通过基于贝叶斯滤波跟踪峰点来从管状图像中采样局部峰,从而构造图形,并且不会带来显着的计算复杂性。

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