面向高分辨率极化 SAR 四分量分解的相干矩阵自适应估计

摘要

To improve the accuracy of high resolution polarimetric synthetic aperture radar (SAR)four-component decomposition,an adaptive coherent matrix estimation method is proposed,which is applied before decomposition.First,in order to eliminate the effect of the extreme heterogeneity cell,proper samples are cho-sen adaptively according to the main types of cell scattering.Then,the ensemble average estimate and the fixed point estimate are applied separately according to the degree of feature heterogeneous to accommodate different feature distribution.This method is validated by using the ESAR data and the UAVSAR data.The results show that the decomposition results are closer to real scattering types by applying the adaptive matrix estimation.%提出了一种相干矩阵的自适应估计方法，基于估计结果矩阵进行传统四分量分解，以提高高分辨率极化合成孔径雷达（synthetic aperture radar，SAR）四分量分解的准确性。该方法根据像元主要散射类型对估计样本做自适应选取，消除异质像元对估计结果的影响；并通过对地物异质度的判别实现窗口平均估计和不动点迭代估计的自适应选择，以适应不同异质程度的地物分布情况。实验采用 ESAR 以及 UAVSAR 数据进行验证，结果表明，采用自适应矩阵估计的四分量分解结果更接近地物的实际散射机理。