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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Application of a Fast Linear Feature Detector to Road Extraction From Remotely Sensed Imagery
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Application of a Fast Linear Feature Detector to Road Extraction From Remotely Sensed Imagery

机译：快速线性特征检测器在遥感影像道路提取中的应用

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摘要

This paper presents a fast and effective algorithm for detecting ridge- or ribbon-like linear features from remote sensing imagery. To judge if a pixel is at the center of a linear feature, the first step is to find several biggest pixels by their grey values within orthogonal directional windows, and store them into an evaluation window. A simple evaluation method is then applied to make the yes or no decision on whether the pixel is a linear feature point. Aerial images were used to test the algorithm's ability to extract roads. This algorithm was compared with the Multiple Directional Non Maximum Suppression (MDNMS) algorithm. The experimental results indicate that with the proposed algorithm the processing of road details could improve and the processing time decrease.
机译：本文提出了一种快速有效的算法，可从遥感影像中检测出脊状或带状线性特征。为了判断像素是否在线性特征的中心，第一步是通过正交方向窗口内的灰度值找到几个最大像素，并将它们存储到评估窗口中。然后应用一种简单的评估方法，对像素是否为线性特征点做出是或否的决策。航拍图像用于测试算法提取道路的能力。将该算法与多方向非最大抑制（MDNMS）算法进行了比较。实验结果表明，该算法可以改善道路细节的处理，减少处理时间。

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