极化干涉SAR相干最优理论及其验证分析

Basic Theory and Analysis of Polarimetric SAR Interferometry Optimization

极化干涉SAR树高反演是当前SAR研究领域的一个重要方向。相干最优化是在各种散射机制中寻求最优的散射机制,对于极化干涉SAR,它不仅可以改善不同极化通道之间的相干系数,还能改善地物分类和垂直结构参数估计。首先详细分析极化干涉SAR反演树高的相干最优化理论基础,然后利用仿真数据从不同极化通道对线极化、Pauli基极化和最优极化进行了试验,从定性和定量进行对比分析,研究结果进一步验证相干最优分解方法可以提高干涉相干系数,并获得更好的干涉图,从而有利于提高树高反演的精度。

Tree height inversion based on polarization interference SAR is an important direction in the current SAR research field. By searching for the optimal mechanism in various scattering mechanisms, for POL - InSAR system, it not only can be used to improve the coherence between different polarization channels, but also can help to improve classification and vertical structure parameters esti- mation process. The optimal mechanism of tree height inversion based on polarization interference SAR was elaborated and analyzed, and an experiment on the simulation data of line polarization, Pauli Base change and the optimal polarization was done. By making a contrastive analysis on aspects of qualitative and quantitative information, we confirmed that coherent optimal decomposition method can increase interference coherent coefficient and help us get better interferogram so as to improve tree height inversion＇s precision.