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作 者:胡灿程 汪长城[1] 沈鹏 HU Cancheng;WANG Changcheng;SHEN Peng(School of Geosciences and Info-Physics,Central South University,Changsha 410083,China;Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510000,China)
机构地区:[1]中南大学地球科学与信息物理学院,湖南长沙410083 [2]广州市城市规划勘测设计研究院,广东广州510000
出 处:《武汉大学学报(信息科学版)》2023年第12期1943-1950,共8页Geomatics and Information Science of Wuhan University
基 金:国家自然科学基金(41671356)。
摘 要:相较于传统的单极化合成孔径雷达(synthetic aperture radar,SAR),全极化SAR(polarimetric SAR,PolSAR)能够获取更加丰富的地物目标极化散射信息,更全面地描述目标的几何物理特征。为了充分利用地物目标的极化散射信息,基于复Wishart分布的极化似然比检验(polarimetric likelihood ratio test,PolLRT)原理,构建了极化似然比统计量来准确评价主、从影像块之间的相似性。与传统的极化SAR偏移量跟踪方法相比,所提方法不仅考虑了同种极化方式间的互相关信息,而且考虑了不同极化方式间的互相关信息,提高了极化信息匹配性能。通过覆盖美国科罗拉多州Slumgullion滑坡的全极化无人机SAR(unmanned aerial vehicle SAR,UAV SAR)数据来开展实验,结果表明,所提方法具有更高的形变估算精度,并且在不同匹配窗口参数下表现出更加稳健的形变估算性能。Objectives:Compared with the traditional single-polarization synthetic aperture radar(SAR),the full-polarization SAR can obtain more abundant polarimetric scattering information and describe the geometric and physical characteristics of the target more comprehensively.Methods:To make full use of the polarimetric scattering information of ground objects,we utilize the polarimetric coherence matrix used to describe distributed targets and the polarimetric likelihood ratio test(PolLRT)based on complex Wishart distribution to accurately evaluate the temporal similarity between master and slave image blocks.Results:Compared with the traditional method,this method not only considers the cross-correlation information between the same polarization,but also considers the cross-correlation information between different polarization modes,to improve the matching performance of the time series polarization information.In the real experiment,two fully polarized unmanned aerial vehicle(UAV)SAR data are used as experimental data,and the external global positioning system(GPS)deformation data is used as the reference data.Conclusions:The experimental results show that the proposed algorithm has higher deformation extraction accuracy and shows more robust deformation extraction performance under different matching window sizes.
分 类 号:P237[天文地球—摄影测量与遥感]
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