Application of Remote Sensing Techniques to Detect Roads and its Neighborhood by Using Graph-Based Algorithms

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Abstract

The application of remote sensing techniques is widely used in the analysis of remote sensing objects. The extraction and analysis of roads using this technique provide efficient data for the stakeholders which can be utilized in various occasions. The road structures are always incubated with rich neighboring objects. The extraction and the segregation of these neighborhood objects is a challenging task. The rich set of image processing algorithms provides a flexible extraction of road and its neighborhood. This paper proposes a graph technique to extract the road and its neighborhood. The graph cut algorithm is applied to 4 sets of image datasets. The datasets are taken at different intervals. The paper is aimed at detecting the road and its neighborhood. The segmentation accuracy in detecting roads and its neighborhood is also discussed in the article
基于图的遥感技术在道路及其邻域检测中的应用
遥感技术在遥感地物分析中的应用十分广泛。使用该技术对道路进行提取和分析,为利益相关者提供了有效的数据,可以在各种场合使用。道路结构总是孕育着丰富的邻近物体。邻域对象的提取和分离是一项具有挑战性的任务。丰富的图像处理算法集提供了灵活的道路及其邻域提取。本文提出了一种提取道路及其邻域的图技术。图切算法应用于4组图像数据集。数据集以不同的间隔进行采集。本文的目的是检测道路及其邻域。本文还讨论了道路及其邻域检测的分割精度问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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