基于高分辨率SAR图像成像机理的震害信息分析
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摘要
与中低分辨率SAR图像相比,高分辨率SAR图像受目标复杂性和成像噪声等因素的干扰更为严重,致使应用高分辨率SAR图像检测震害目标变得更加困难。传统的适用于中低分辨率SAR图像的震害信息提取方法对于高分辨率SAR图像有一定的局限性。为了从高分辨率SAR图像中更加准确地提取震害信息,从SAR图像成像机理和目标的后向散射特征出发,对建筑物和道路、桥梁的震害特征进行了细致分析,为寻求合适的目标检测和提取方法提供了思路。
High resolution SAR image is different from the previous low resolution SAR images in that the former is more seriously influenced by objective complexity and imaging factors such as noise,thus resulting in damage to target detection.The utilization of the high resolution SAR image therefore becomes more difficult.The traditional methods applicable to low resolution SAR image extraction are hence no longer suitable for high resolution SAR images.In order to accurately extract the damage information from high resolution SAR images,the authors,starting with the SAR imaging mechanism and backscatter characteristics,analyzed characteristics of earthquake damage to buildings,roads and bridges,and the results obtained provide the train of thought for target detection and the method for extraction.
High resolution SAR image is different from the previous low resolution SAR images in that the former is more seriously influenced by objective complexity and imaging factors such as noise,thus resulting in damage to target detection.The utilization of the high resolution SAR image therefore becomes more difficult.The traditional methods applicable to low resolution SAR image extraction are hence no longer suitable for high resolution SAR images.In order to accurately extract the damage information from high resolution SAR images,the authors,starting with the SAR imaging mechanism and backscatter characteristics,analyzed characteristics of earthquake damage to buildings,roads and bridges,and the results obtained provide the train of thought for target detection and the method for extraction.
引文
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[2]张风丽,邵芸.城市目标高分辨率SAR遥感监测技术研究进展[J].遥感技术与应用,2010,25(3):415-422.Zhang F L,Shao Y.Urban target monitoring using high resolutionSAR data[J].Remote Sensing Technology and Applications,2010,25(3):415-422.
[3]赵凌君.高分辨率SAR图像建筑物提取方法研究[D].北京:国防科技大学,2009.Zhao L J.Study on building extraction from high resolution SARimages[D].Beijing:National University of Defense Technology,2009.
[4]国家质量技术监督局.GB/T18208.3-2000,地震现场工作第3部分:调查规范[S].北京:中国标准出版社,2000.State Bureau of Quality and Technical Supervision.GB/T 18208.3-2000,Seismic field work,part three:Survey of standardization[S].Beijing:Standards Press of China,2000.
[5]赵福军.遥感影像震害信息提取技术研究[D].哈尔滨:中国地震局工程力学研究所,2010.Zhao F J.Seismic disaster information extraction from remotelysensed imagery[D].Haerbin:China Earthquake Administration In-stitute of Engineering Mechanics,2010.
[6]Balz T.SAR simulation based change detection with high-resolu-tion SAR images in urban environments[J].In Proc Int Arch Pho-togramm,Remote Sens Spatial Inf Sci,2004,35:472-477.
[7]Brunner D,Bruzzone L,Ferro A,et al.Analysis of the reliability ofthe double bounce scattering mechanism for detecting buildings inVHR SAR images[C]//In Proc IEEE Radar Con,Pasadena,CA,2009:1-6.
[8]谢锋,陈映鹰,林怡,等.SAR图像中道路自动提取的不确定性与仿真[J].系统仿真学报,2009,21(11):3489-3493.Xie F,Chen Y Y,Lin Y,et al.Simulation of automatic extractingroads from SAR imagery based on uncertainty analysis[J].Journalof System Simulation,2009,21(11):3489-3493.
[9]张绍明,何向晨,张小虎,等.高分辨率星载SAR图像水上桥梁解译[J].电子与信息学报,2011,33(7):1706-1702.Zhang S M,He X C,Zhang X H,et al.Auto-interpretation forbridges over water in high-resolution space-borne SAR imagery[J].Journal of Electronics&Information Technology,2011,33(7):1706-1702.
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