A STATISTICAL TEXTURE FEATURE FOR BUILDING COLLAPSE INFORMATION EXTRACTION OF SAR IMAGE
Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information,due to its extreme versatility and almost all-weather,day-and-night working capability,etc.In view of the fact that the inherent statistical distribution of speckle in SAR images is not used to extract collapsed building information,this paper proposed a novel texture feature of statistical models of SAR images to extract the collapsed buildings.In the proposed feature,the texture parameter of G0 distribution from SAR images is used to reflect the uniformity of the target to extract the collapsed building.This feature not only considers the statistical distribution of SAR images,providing more accurate description of the object texture,but also is applied to extract collapsed building information of single-,dual-or full-polarization SAR data.The RADARSAT-2 data of Yushu earthquake which acquired on April 21,2010 is used to present and analyze the performance of the proposed method.In addition,the applicability of this feature to SAR data with different polarizations is also analysed,which provides decision support for the data selection of collapsed building information extraction.
Synthetic Aperture Radar (SAR) Building Collapse Information Texture G0 Distribution Texture Parameter
Linlin Li Hui Yang Qihao Chen Xiuguo Liu
Faculty of Information Engineering,China University of Geosciences(Wuhan),Wuhan 430074,China
国际会议
北京
英文
871-876
2018-05-07（万方平台首次上网日期，不代表论文的发表时间）