极化干涉SAR森林高度估计性能仿真研究

Simulation Analysis of Forest Height Inversion Performance of Polarimetric Interferometric SAR

研究森林高度精确估计问题,针对森林高度估计性能无法用系统误差直接解析表示的问题,极化干涉合成孔径雷达(SAR)可以实现对森林高度的估计,将相干性作为中间参量引入仿真模型中。将系统误差用相干性的大小进行解析表征,接着以相干性的大小作为输入仿真极化干涉SAR数据,利用数据估计出森林高度,并分析森林高度的估计性能,可将系统误差与森林高度估计性能建立联系。在MATLAB平台上进行仿真实验,结果表明,方法可以有效地分析系统误差,对森林高度可以准确做出估计。

Polarimetric interferometric synthetic aperture radar（SAR） can be applied to estimate forest height.For the problem that forest height estimation performance cannot be expressed as system errors analytically and directly,this paper introduces coherence as middle item into the simulation model.Firstly,system errors are expressed as the amount of coherence.Then polarimetric interferometric SAR data are simulated using the coherence as input.Furthermore,based on the simulated data,forest height is estimated and the estimation performance is evaluated.Finally,the relationship between forest height estimation performance and system errors is established.The simulation experiment is performed based on the MATLAB platform.The results show that the method can effectively analyze the effect of system errors on forest height estimation performance.