Road damage detection from high-resolution RS image

L. Gong, L. An, Mingzhong Liu, Jingfa Zhang
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引用次数: 15

Abstract

This paper presents a road damage extraction method based on object-oriented change detection method using road vector data overlaid on post-earthquake image. It is complex to identify all kinds of road damages in earthquakes. For the purpose of traffic capacity analysis, focusing on roads in good condition will simplify the problem, no matter how the roads are destroyed. The whole road line is provided by road network vector of appropriate scale. Subtract the good road and the damaged parts are clearly shown. This method can realize quantitative analysis on road seismic damage when lack of pre-earthquake images. In this paper it is applied to road damage extraction in Wenchuan earthquake, using high resolution remote sensing images shot just several days after the event.
基于高分辨率RS图像的道路损伤检测
提出了一种基于面向对象变化检测方法的道路损伤提取方法,该方法将道路矢量数据叠加在震后图像上。地震中各种道路损伤的识别是一项复杂的工作。对于交通容量分析而言,无论道路如何被破坏,关注状况良好的道路都会简化问题。整条道路线由适当比例的路网矢量提供。减去良好的道路和损坏的部分清楚地显示。该方法可以在缺乏震前图像的情况下,实现对道路震害的定量分析。本文利用震后几天的高分辨率遥感图像,将该方法应用于汶川地震道路损伤提取。
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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