面向对象分类的震区建筑物损害快速评估
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摘要
建筑物倒塌是地震灾害中最为严重的一种破坏形式,直接造成震区生命财产的损失.震区建筑物的破坏监测对灾情速报、灾害等级划分、灾害评估、应急抢险、次生灾害监测和灾后重建规划等具有重要的指导意义.传统的面向像元的分类方法不能够很好地提取出建筑物信息,而面向对象的分类能够融合除像元光谱信息以外的形状、纹理和位置关系等多种信息,分类更加客观准确.利用玉树Ms7.1地震前后航空航天多源遥感数据,采用面向对象的分类方法,提取建筑物的覆盖面积,然后统计出建筑物的倒塌率为58.6%,与影像目视解译倒塌率60.4%的结果吻合较好.
The building collapse is the most severe earthquake damage;Earthquake directly caused the loss of life and property,and it is important to quick report of the disaster monitoring,classification,assessment,emergency rescue,secondary disaster monitoring and reconstruction planning etc..Conventional pixel-oriented classification method is not able to extract the building information exactly,but object-oriented classification can integrate the shape,texture and position information besides spectral information,which is more objective and accurate.In this paper,Yushu Ms7.1 non-homologous aerospace remote sensing data before and after the earthquake is used to extract the building coverage by using object-oriented classification method.The building collapsed rate was expected 58.6% and close to 60.4% obtained from visual interpretation.
The building collapse is the most severe earthquake damage;Earthquake directly caused the loss of life and property,and it is important to quick report of the disaster monitoring,classification,assessment,emergency rescue,secondary disaster monitoring and reconstruction planning etc..Conventional pixel-oriented classification method is not able to extract the building information exactly,but object-oriented classification can integrate the shape,texture and position information besides spectral information,which is more objective and accurate.In this paper,Yushu Ms7.1 non-homologous aerospace remote sensing data before and after the earthquake is used to extract the building coverage by using object-oriented classification method.The building collapsed rate was expected 58.6% and close to 60.4% obtained from visual interpretation.
引文
[1]HAJIME MITOMI,FUMIO YAMAZAKI,MASASHI MATSUOKA.Automated detection of building damage due to re-cent earthquakes using aerial television images[C]//proceedings of 21st Asian conference on Remote Sensing.Asianconference on remote Sensing.2000:1-7.
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[8]张磊,张景发.基于面向对象分类的建筑物倒塌率计算方法研究[J].地震,2009,29(增):140-145.
[9]GAMBOTTO J P.A new approach to combining region growing and edge-detection[J].Pattern Recognition Letters,1993,14(11):869-875.
[10]HAY G J.NIEMANN K O,MCLEAN G F.An object2specific image texture analysis of H-resolution forest imagery[J].Remote Sensing of Environment,1996,55(2):108-122.
[2]MIGUEL EATRADA,FUMIO YAMAZAKI.Use of Landsat Images for the Identification of Damage Due to the 1999 Ko-caeli Turkey Earthquake[C]//Proceedings of the 21st Asian Conference on Remote Sensing.Asian Conference on Re-mote Sensing.2000:1-11.
[3]柳稼航.利用遥感技术进行城市建筑震害的自动识别与分类方法研究[D].北京:中国地震局地质研究所,2003
[4]张桂芳,单新建,尹京苑.高分辨率卫星影像图在震害快速预估中的应用[J].大地测量与地球动力学,2005,25(2):63-68.
[5]韦秋蓓,罗奇峰.基于卫星图片的建筑物震害预测[J].山西建筑,2008,34(4):82-83.
[6]BLASCHKE T,STROBL J.What's wrong with pixel?Some recent developments interfacing remote sensing and GIS[J].GeoBIT/GIS,2001(6):34-39.
[7]王文杰.基于遥感的宏观生态监控技术研究[M].北京:中国环境科学出版社,2006.
[8]张磊,张景发.基于面向对象分类的建筑物倒塌率计算方法研究[J].地震,2009,29(增):140-145.
[9]GAMBOTTO J P.A new approach to combining region growing and edge-detection[J].Pattern Recognition Letters,1993,14(11):869-875.
[10]HAY G J.NIEMANN K O,MCLEAN G F.An object2specific image texture analysis of H-resolution forest imagery[J].Remote Sensing of Environment,1996,55(2):108-122.
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