基于球形截断协方差矩阵的极化SAR分布式目标稳健定标方法

常规的基于分布式目标的定标算法通过假设协方差矩阵满足特定形式,并用样本协方差矩阵来估计失真参数。然而,样本协方差矩阵并非稳定的协方差矩阵估计子。尤其是当场景中包含不满足定标算法要求的目标时,样本协方差矩阵会偏离理想形式,以致失真参数估计精确度下降。球形截断协方差矩阵方法能够有效地抑制离群样本对协方差矩阵估计的影响,该文将其引入到极化SAR的定标中,并对其可行性进行了理论分析。最后,利用机载全极化SAR数据,验证了该方法能够有效地降低失真参数估计的不确定度,从而提高失真参数估计的稳健性。...

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Bibliographic Details
Published in雷达学报 Vol. 5; no. 6; pp. 701 - 710
Main Author 张晶晶 洪文 尹嫱
Format Journal Article
LanguageChinese
Published 中国科学院电子学研究所 北京 100190 2016
中国科学院大学 北京 100049%北京化工大学信息科学与技术学院 北京 10029
微波成像技术国家级重点实验室 北京 100190
Subjects
合成孔径雷达
定标
极化
球形截断协方差矩阵
极化
球形截断协方差矩阵
合成孔径雷达
定标
Online AccessGet full text
ISSN2095-283X
DOI10.12000/JR16138

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Summary:常规的基于分布式目标的定标算法通过假设协方差矩阵满足特定形式,并用样本协方差矩阵来估计失真参数。然而,样本协方差矩阵并非稳定的协方差矩阵估计子。尤其是当场景中包含不满足定标算法要求的目标时,样本协方差矩阵会偏离理想形式,以致失真参数估计精确度下降。球形截断协方差矩阵方法能够有效地抑制离群样本对协方差矩阵估计的影响,该文将其引入到极化SAR的定标中,并对其可行性进行了理论分析。最后,利用机载全极化SAR数据,验证了该方法能够有效地降低失真参数估计的不确定度,从而提高失真参数估计的稳健性。
Bibliography:10-1030/TN
Conventional distributed-target-based polarimetric calibration algorithms estimate polarimetric distortions by assuming that the measured spatially averaged covariance matrix takes a specific form.However,when the underlying surface contains targets that do not satisfy the assumptions employed by those algorithms,the averaged covariance matrix may deviate from the desired form.As a result,poor estimates of distortion parameters may yield.It is known that spherically truncated covariance matrix is robust to outliers.Thus,we introduce it to the polarimetric SAR calibration routine.Experiment results on the airborne SAR data confirm that this method can effectively reduce the uncertainty of distortion estimates,hence improve the robustness of the calibration.
Zhang Jingjing1,2,3, Hong Wen1,2,3 Yin Qiang4 （1Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;2National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190;3 University of Chinese Academy of
ISSN:2095-283X
DOI:10.12000/JR16138