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典型地形SAR回波模拟与SAR图像仿真
引用本文:夏伟杰,周建江.典型地形SAR回波模拟与SAR图像仿真[J].遥感学报,2009,13(3):404-416.
作者姓名:夏伟杰  周建江
作者单位:南京航空航天大学信息科学与技术学院,江苏,南京,210016
基金项目:国家高新技术发展计划(编号: 2006AA12Z219)。
摘    要:SAR成像算法的验证需要相应的回波数据, 同时SAR图像目标识别算法的检验需要大量的SAR图像, 针对这一要求, 提出了一种典型地形SAR回波模拟与图像仿真的方法。首先分析了分形布朗曲面及其水平集的特征。在此基础上, 运用中点位移法生成了描述山脉地形的数字高程数据, 提出了生成海岸地形(“归零法”)及河流沟壑地形(“归零取反法”)的新方法。引入电磁散射模型, 计算了每个分辨单元的后向散射系数。给出了基于二维快速傅立叶变换的SAR回波模拟算法的推导过程及相应的仿真结果, 并对结果进行了分析和讨论, 证明了该方法的正确性。

关 键 词:回波模拟    合成孔径雷达    分形布朗曲面    随机中点位移法
收稿时间:2008/5/19 0:00:00
修稿时间:8/7/2008 12:00:00 AM

SAR raw signal and SAR images simulations of typical terrains
XIA Wei-jie and ZHOU Jian-jiang.SAR raw signal and SAR images simulations of typical terrains[J].Journal of Remote Sensing,2009,13(3):404-416.
Authors:XIA Wei-jie and ZHOU Jian-jiang
Institution:College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics,Jiangsu Nanjing 210016, China;College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics,Jiangsu Nanjing 210016, China;1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China;1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Abstract:In order to meet the increasing demand for SAR raw signal and SAR images simulation, a new method for the simulation of the SAR raw signal and images of typical terrains is proposed in this paper. The properties of Fractal Brown Surface and its horizontal are analyzed first. Then the Digital Elevation Model (DEM) of the mountain terrains is generated by the usage of random MPD (Middle Point Displacement) method. The new approaches for the generation of coastal terrain (Return-to-Zero method) and river-ravine terrain (Return-to-Zero-Inversion method) are also proposed. The back scattering coefficient of each resolution cell is calculated by employing the corresponding electromagnetic scattering model. The algorithm of SAR raw signal simulation based on the 2DFFT (two-dimensional Fourier Transform) is presented. The simulation results show that the proposed method is valid.
Keywords:raw signal simulation  SAR  Fractal Brown Surface  random midpoint displacement
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