面向对象的地质灾害信息提取——以汶川地震为例
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摘要
讨论了面向对象的高空间分辨率遥感影像地质灾害体信息提取方法.该方法首先利用像元的色调和形状特征判别所要生成的影像对象的异质性,采取自下而上区域合并的方法将影像划分为互不相交的影像对象,然后根据这些对象的影像特征,如光谱、纹理、形状和上下文等,进行分类,提取出地质灾害体.结果表明,该方法能有效地提取地质灾害信息,为震灾调查和快速预评估提供决策支持数据.
Wenchuan Earthquake triggered a burst of variable and complicated geological hazards whose geometrical and texture features were recorded in high resolution remotely sensed imagery.This paper presents an object-oriented method to extract the geological hazard information.The degree of heterogeneity among expected image objects was determined upon the tone and the shape factors of per pixel.It was used to segment the input image into unintersected pieces of image objects in a down-up region merging approach.These pieces were then classified to identify geological hazard bodies according to their spectral characters,textures,shapes and their contexts.The method proved to be fast,accurate and able to make synthetic use of detailed information in high resolution imagery.
Wenchuan Earthquake triggered a burst of variable and complicated geological hazards whose geometrical and texture features were recorded in high resolution remotely sensed imagery.This paper presents an object-oriented method to extract the geological hazard information.The degree of heterogeneity among expected image objects was determined upon the tone and the shape factors of per pixel.It was used to segment the input image into unintersected pieces of image objects in a down-up region merging approach.These pieces were then classified to identify geological hazard bodies according to their spectral characters,textures,shapes and their contexts.The method proved to be fast,accurate and able to make synthetic use of detailed information in high resolution imagery.
引文
[1]唐荣余.2008年汶川8.0级地震科学考察图集[M].北京:地震出版社,2009.
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[3]HOLDAWAY R.Is Space Global Disaster Warning and Monitoring Now Nearing Reality?[J].Space Policy,2001,17:127-132.
[4]王岩.面向对象图像处理方法在遥感震害提取中的应用研究[D].北京:中国地震局地震预测研究所,2009.
[5]章毓晋.图像分割[M].北京:科学出版社,2001.
[6]HARALICK R,SHAPIRO L G.Image Segmentation Technique[J].Computer Vision,Graphics and Image Processing,1985,12:100-132.
[7]BAATZ M,SCH PE A.Multiresolution segmentation-an optimization approach for high quality multi-scale image seg-mentation[C]//STROBL J,BLASCHKE T,GRIESEBNER G.Angewandte Geographische InformationsverarbeitungXII.Heidelberg:Wichmann-Verlag,2000:12-23.
[8]BENZ U.Definiens Imaging GmbH:Object-Oriented Classification and Feature Detection[J].IEEE Geoscience and Re-mote Sensing Society Newsletter,2001,9:16-20.
[9]Definiens Imaging GmbH.eCognition User Guide[M].Germany:Munich,2004.
[10]陈秋晓,骆剑承,周成虎.基于多特征的遥感影像分析——个新的视角[J].国土资源遥感,2003,55(1):5-7.
[11]关元秀,程晓阳.高分辨率卫星影像处理指南[M].北京:科学出版社,2008.
[12]张敏,杨武年,黄瑾,等.汶川地震区航空影像地质灾害自动识别技术[J].地理与地理信息科学,2008,24(6):42-45.
[13]李新,程国栋,卢玲.空间内插方法比较[J].地球科学进展.2000,15(3):260-265.
[14]卓静,邓凤东,李登科,等.陕北地区TM影像重采样方法研究[J].陕西气象,2003,4:17-20.
[2]黄润秋,李为乐.“5.12”汶川大地震触发地质灾害的发育分布规律研究[J].岩石力学与工程学报,2008,27(12):2585-2592.
[3]HOLDAWAY R.Is Space Global Disaster Warning and Monitoring Now Nearing Reality?[J].Space Policy,2001,17:127-132.
[4]王岩.面向对象图像处理方法在遥感震害提取中的应用研究[D].北京:中国地震局地震预测研究所,2009.
[5]章毓晋.图像分割[M].北京:科学出版社,2001.
[6]HARALICK R,SHAPIRO L G.Image Segmentation Technique[J].Computer Vision,Graphics and Image Processing,1985,12:100-132.
[7]BAATZ M,SCH PE A.Multiresolution segmentation-an optimization approach for high quality multi-scale image seg-mentation[C]//STROBL J,BLASCHKE T,GRIESEBNER G.Angewandte Geographische InformationsverarbeitungXII.Heidelberg:Wichmann-Verlag,2000:12-23.
[8]BENZ U.Definiens Imaging GmbH:Object-Oriented Classification and Feature Detection[J].IEEE Geoscience and Re-mote Sensing Society Newsletter,2001,9:16-20.
[9]Definiens Imaging GmbH.eCognition User Guide[M].Germany:Munich,2004.
[10]陈秋晓,骆剑承,周成虎.基于多特征的遥感影像分析——个新的视角[J].国土资源遥感,2003,55(1):5-7.
[11]关元秀,程晓阳.高分辨率卫星影像处理指南[M].北京:科学出版社,2008.
[12]张敏,杨武年,黄瑾,等.汶川地震区航空影像地质灾害自动识别技术[J].地理与地理信息科学,2008,24(6):42-45.
[13]李新,程国栋,卢玲.空间内插方法比较[J].地球科学进展.2000,15(3):260-265.
[14]卓静,邓凤东,李登科,等.陕北地区TM影像重采样方法研究[J].陕西气象,2003,4:17-20.
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