中文摘要：

该文提出了一种针对3维森林场景极化SAR数据模拟的快速模拟方法,解决了由于散射粒子数量巨大导致SAR回波模拟过程难以应用于大范围、高密度3维森林场景的问题。该方法通过将3维森林场景划分为＂子场景＂、＂场景块＂和＂场景带＂,构造出一系列虚拟散射粒子,在斜距误差较小的前提下将多个真实散射粒子对SAR回波信号的综合贡献用单个虚拟散射粒子等效,从而达到降低散射粒子数量,提高SAR回波信号模拟效率的目的。该文推导了3维森林场景切分各控制参数之间的被约束关系,分析了各参数的误差敏感度,得到了模拟精度和效率的优化组合准则。2.5×105m2阔叶林场景的数据域相关性验证表明,该文提出的方法相比传统方法在保持较高模拟精度的前提下可以将模拟效率提高1个数量级。1.0×106m2阔叶林场景的森林高度反演结果表明了该方法进行大范围森林场景SAR遥感数据模拟的有效性。

英文摘要：

A fast method in polarimetric Synthetic Aperture Radar（SAR） data simulation for three-dimension forest application is proposed and the difficult application of SAR echo generation process in wide range and high density forest stand is solved.The method is based on the equivalent scattering process consisting of a few virtual scatters specially obtained by segmenting the entire forest stand into slices,blocks,and pieces.The received signal responded by a cluster of real scatters can be equivalent to that responded by a single virtual scatter in the case of the tiny slant range error.Then,the number of scatterers can be reduced and the efficiency of echo generation process can be improved.The error sensitivity of the equivalent parameters is analyzed and optimum combination of the parameters considering both precision and efficiency is obtained.The experimental results on 2.5×105 m2 broadleaf forest stand show that the proposed method provides high efficiency simulation while keeping high precision on both echoes and images.The forest height inversion results on 1.0×106 m2 broadleaf forest stand demonstrate the feasibility and potential utilities of the proposed method for large area forest applications.