SAR残余相位误差对森林高度反演影响的全链路模拟与分析

利用合成孔径雷达(SAR)遥感数据可以有效地估测平均树高、生物量、蓄积量等森林生物学参数。但是遥感数据精度易受SAR系统不确定性因素的影响,造成森林参数反演精度降低甚至异常。遥感系统的全链路模拟可以将遥感过程的各类影响因素解耦,获取大量具有指定参数特征的遥感数据,有利于对不确定性因素单独或联合分析。建立了SAR三维森林场景全链路模拟模型,基于E-SAR样地参数及数据验证了模型的有效性,并以森林高度反演这一典型的林业应用为对象,定量分析了运动补偿残余相位误差这一典型的SAR系统不确定性因素对反演精度的影响程度,得到了残余相位误差与高度反演RMSE测量结果之间的关系曲线。

Simulation and Analysis of SAR Residual Phase Error on Forest Height Inversion

It has been found that some forest biological parameters suchas the average tree height，biomass，and volume can be effectively estimated from Synthetic Aperture Radar(SAR) remote sensing data. However，the data accuracy is affected by the uncertainties in SAR systems，as a result，the accuracy of forest parameter inversion could be lost or even abnormal. simulation of SAR data as three dimensional forest scenes permits uncertainties to be decoupled to generate mass of data with specified parameters，which can be used for analyzing the uncertainties separately or together. SAR three-dimensional forest simulation models considering uncertainties were established and verified by E-SAR measured parameters and data. Supported by a large amount of simulated data，the uncertainties in a SAR system are quantitatively analyzed for residual phase errors after motion compensation. The relationships between residual phase errors and RMSE of forest height inversion were obtained.