汶川地震道路震害高分辨率遥感信息提取方法探讨
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摘要
发生在四川省汶川县的"5.12"大地震给四川乃至全国带来了巨大的损失,道路是本次抗震救灾过程中的"生命线",如何对道路的损毁状况进行快速准确的监测成为抗震救灾的一项重要工作。以汶川地震的重灾区——北川县为研究对象,利用震前震后的高分辨率遥感影像,通过面向对象的图像分类方法进行道路识别,并通过震前道路识别结果与震后影像的叠加和震前震后道路识别结果的变化检测提取出损毁的路段。信息提取的结果已在第一时间提交给相关部门,为生命线的尽快抢通提供了及时、科学的依据。
The earthquake occurred in the county of Wenchuan,Sichuan province on May 12th,2008 has brought huge loss in both property and lives.Road is the lifeline which is very important for disaster relief and people's life after the earthquake.Thus,it becomes one of the most significant tasks for monitoring the situation of road damage.This study selects Beichuan which was destroyed seriously in the earthquake as the study area.Utilizing high spatial resolution remote sensing images before and after the earthquake,this study recognizes roads based on object-oriented image classification technology.In addition,it extracts the sections of damaged road using two approaches,one of which is overlaying the roads extracted from images acquired before the quake with the images after the quake,while the other is applying change detection to the roads extracted from images before and after the quake.Result of this study has already submitted to correlative departments of ministry of communications and provided timely and scientific basis for the disaster relief.This pilot study shows the methods mentioned above is feasible to road damage extraction based on high-resolution airborne image and satellite images.However,further study should be done in the near future.
The earthquake occurred in the county of Wenchuan,Sichuan province on May 12th,2008 has brought huge loss in both property and lives.Road is the lifeline which is very important for disaster relief and people's life after the earthquake.Thus,it becomes one of the most significant tasks for monitoring the situation of road damage.This study selects Beichuan which was destroyed seriously in the earthquake as the study area.Utilizing high spatial resolution remote sensing images before and after the earthquake,this study recognizes roads based on object-oriented image classification technology.In addition,it extracts the sections of damaged road using two approaches,one of which is overlaying the roads extracted from images acquired before the quake with the images after the quake,while the other is applying change detection to the roads extracted from images before and after the quake.Result of this study has already submitted to correlative departments of ministry of communications and provided timely and scientific basis for the disaster relief.This pilot study shows the methods mentioned above is feasible to road damage extraction based on high-resolution airborne image and satellite images.However,further study should be done in the near future.
引文
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[11]Baatz M,Benz U,Dehghani S,et al.eCongniton User Guide[S].Definiens Imaging GmbH,2003.
[12]Luo Qingzhou,Yin Qiu,Kuang Dingbo.Research on Extrac-ting Road Based on Its Spectral Feature and Shape Feature[J].Remote Sensing Technology and Application,2007,22(2):339-344.[罗庆州,尹球,匡定波.光谱与形状特征相结合的道路提取方法研究[J].遥感技术与应用,2007,22(2):339-344.]
[2]News163.The Road Was Blocked fromthe County of Li to Wenchuan Due to Coast of Hill[EB/OL].http://news.163.com/08/0516/12/4C2JPHLM0001124J.ht ml,2008-05-16.[网易新闻.理县至汶川道路由于山体滑坡再次封闭[EB/OL].http://news.163.com/08/0516/12/4C2JPHLM0001124J.ht ml,2008-05-16.]
[3]Beichuan[EB/OL].http://www.hoodong.com/wiki/%E5%8C%97%E5%B7%9D%E5%8E%BF,2008-05-26.[互动百科.北川县[EB/OL].http://www.hoodong.com/wiki/%E5%8C%97%E5%B7%9D%E5%8E%BF,2008-05-26.]
[4]Liu Junsheng,Liu Jiping.Discuss Methods for the Extraction of Road Information fromIKONOS l m-resolution Urban Im-age[J].Computer Simulation,2003,20(9):106-108.[刘军生,刘吉平.IKONOS1m城市图像中道路信息提取方法研究[J].计算机仿真,2003,20(9):106-108.]
[5]Li Minqi,Zhou Quan.A Kind of Road Detectionfrom Remote Sensing Image[J].Modern Electronic Technolog,2006,(6):125-127.[李敏奇,周诠.一种遥感图像中的道路检测方法[J].现代电子技术,2006,(6):125-127.]
[6]Shi Wenzhong,Zhu Changqing,Wang Yu.Road Feature Ex-traction from Remotely Sensed Image:Review and Prospects[J].Acta Geodaetica et Cartographica Sinica,2001,30(3):257-262.[史文中,朱长青,王昱.从遥感影像提取道路特征的方法综述与展望[J].测绘学报,2001,30(3):257-262.]
[7]Li Guangyao,Hu Yang.Road Feature Extraction from High Resolution Remote Sensing Images:Review and Prospects[J].Information of Remote Sensing,2008,(1):91-95.[李光耀,胡阳.高分辨率遥感影像道路提取技术研究与展望[J].遥感信息,2008,(1):91-95.]
[8]Li Li wei,Liu Jiping,Yin Zuowei.Road Extraction from High Resolution Remote Sensing Image Based on Mathematic Mor-phology[J].Information of Remote Sensing,2005,(5):9-11.[李利伟,刘吉平,尹作为.基于数学形态学的高分辨率遥感影像道路提取[J].遥感信息,2005,(5):9-11].
[9]Shen Shaohong,Song Yang,Wan Youchuan,et al.An Ap-proach for Automatic Road Extraction in Dense Urban Area from High--resolution Multispectral Satellite Imagery[J].In-formation of Remote Sensing,2007,(5):73-77.[申邵洪,宋杨,万幼川,等.高分辨率多光谱遥感影像中城区道路信息的自动提取[J].遥感信息,2007,(5):73-77.]
[10]Hu Jin′gang,Zhang Xiaodong,Shen Xin,et al.A Method of Road Extractionin High-Resolution Remote Sensing Imagery Based on Object-oriented Image Analysis[J].Remote Sensing Technology and Application,2006,21(3):184-188.[胡进刚,张晓东,沈欣,等.一种面向对象的高分辨率影像道路提取方法[J].遥感技术与应用,2006,21(3):184-188.]
[11]Baatz M,Benz U,Dehghani S,et al.eCongniton User Guide[S].Definiens Imaging GmbH,2003.
[12]Luo Qingzhou,Yin Qiu,Kuang Dingbo.Research on Extrac-ting Road Based on Its Spectral Feature and Shape Feature[J].Remote Sensing Technology and Application,2007,22(2):339-344.[罗庆州,尹球,匡定波.光谱与形状特征相结合的道路提取方法研究[J].遥感技术与应用,2007,22(2):339-344.]
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