无味卡尔曼滤波的多基线InSAR高程重建方法  

A multi-baseline InSAR elevation reconstruction method based on unscented Kalman filter

作　　者：宋明辉 谢先明[1,2] 徐有邈 梁峰 曾庆宁 SONG Minghui;XIE Xianming;XU Youmiao;LIANG Feng;ZENG Qingning(School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China;School of Electrical and Information Engineering,Guangxi University of Science and Technology,Liuzhou,Guangxi 545006,China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004 [2]广西科技大学电气与信息工程学院,广西柳州545006

出　　处：《测绘科学》2021年第12期115-122,146,共9页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41661092);广西自然科学基金项目(2018GXNSFAA281196,2016GXNSFDA380018);桂林电子科技大学教育部重点实验室基金项目(CRK170108);广西无线宽带通信与信号处理重点实验室基金项目(GXKL06180102);2020年桂林电子科技大学研究生科研创新项目(2020YCXS020)。

摘　　要：针对传统的多基线InSAR高程重建方法抗噪声性能不强的问题,该文提出一种基于无味卡尔曼滤波(UKF)的多基线InSAR高程重建方法。该算法首先构造稳健的UKF高程重建系统模型,并利用具有较强噪声抑制能力的修正矩阵束模型算法提取UKF高程重建系统模型所需的干涉相位梯度估计值;其次,通过构建反映地形突变信息的残差信息矩阵,把最大似然高程估计信息融入到UKF高程观测模型中;最后,基于UKF的多基线高程重建算法采用逐行(或逐列)扫描方式进行递推估计,直至完成所有行或列的递推估计,有效提高了高程重建的精度。实验结果验证了该文方法的有效性。Aiming at the problem of poor anti-noise performance of traditional multi-baseline InSAR elevation reconstruction methods,a multi-baseline InSAR elevation reconstruction method based on unscented Kalman filter(UKF)was proposed.First,the robust UKF system equation for elevation reconstruction was constructed,and the phase gradient information required by the UKF system equation was extracted by using a so-called AMPM algorithm with strong noise suppression ability;Second,the elevation estimation information obtained by using the maximum likelihood was integrated into the UKF observed equation by constructing the residual information matrix representing discontinuous terrain;Finally,the multi-baseline InSAR based on UKF elevation reconstruction method performed the recursive elevation estimation along the row by row(or column by column)scanning mode until all rows or columns were completed,effectively improved the accuray of elevation reconstruction.The experimental results verified the effectiveness of this method.

关 键 词：干涉合成孔径雷达 最大似然估计 无味卡尔曼滤波 高程重建 

分 类 号：P246[天文地球—测绘科学与技术]