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道路震害遥感提取方法现状与应急应用展望
引用本文:李强,张景发.道路震害遥感提取方法现状与应急应用展望[J].地震,2017,37(4):80-92.
作者姓名:李强  张景发
作者单位:1.中国地震局工程力学研究所中国地震局工程与工程振动重点实验室, 黑龙江 哈尔滨 150080;
2.中国地震局地壳应力研究所地壳动力学重点实验室, 北京 100085
基金项目:国家自然科学基金面上项目(41374050), 高分遥感地震监测与应急应用示范系统(一期)项目共同资助
摘    要:强地震发生后, 道路是抗震救灾的生命线, 快速有效地提供灾区可通行道路的状况可为地震应急救援力量的部署提供强有力的信息支撑。 基于遥感图像的震害道路识别是遥感地震应急领域中的难点, 但对于地震应急具有无可比拟的价值。 在总结分析地震前后道路影像特征的基础上, 系统地介绍了遥感影像道路提取方法, 之后介绍了遥感震害道路评估工作流程, 重点阐述了遥感震害道路提取与评估方法, 然后综合分析了遥感道路提取在地震应急中的不足, 最后展望了未来遥感技术在震害道路提取与评估中的应用。

关 键 词:道路震害    多源遥感    地震应急  
收稿时间:2016-09-17

Extraction Method of Road Seismic Damage from Multi- source Remote Sensing Images and Application Prospect for Earthquake Emergency
LI Qiang,ZHANG Jing-fa.Extraction Method of Road Seismic Damage from Multi- source Remote Sensing Images and Application Prospect for Earthquake Emergency[J].Earthquake,2017,37(4):80-92.
Authors:LI Qiang  ZHANG Jing-fa
Institution:1.Institute of Engineering Mechanics, Key Laboratory of Earthquake Engineering and Engineering Vibration, CEA, Harbin 150080, China;
2.Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, CEA, Beijing 100085, China
Abstract:The road is the lifeline of relief after strong earthquakes, rapid and effective way to provide situation of disaster area can provide strong information support for distribution of earthquake emergency rescue force. Recognition of damaged road based on remote sensing image is difficult in the field of remote sensing earthquake emergency, but it has incomparable value for earthquake emergency. On the basis of summarizing and analyzing the characteristics of road image before and after earthquakes, this paper systematically introduces method of road extraction from remote sensing images. The process of building remote sensing seismic damage assessment is established, and the method of extracting and evaluating the road of remote sensing seismic damage is mainly described, and the shortage of remote sensing road extraction in earthquake emergency is analyzed. At last, the application of remote sensing technology in the extraction and evaluation of earthquake damage is also discussed.
Keywords:Earthqauke road damage  Multi-source remote sensing  Earthquake emergency  
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