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基于SAR成像的复杂环境中目标识别
引用本文:干江涛,徐丰. 基于SAR成像的复杂环境中目标识别[J]. 复旦学报(自然科学版), 2006, 45(1): 21-25
作者姓名:干江涛  徐丰
作者单位:复旦大学,通信科学与工程系,上海,200433;复旦大学,通信科学与工程系,上海,200433
摘    要:综合小面元剖分的数值方法和小面元内部的微扰近似,提出了数值双尺度粗糙面模型,用于模拟SAR分布目标散射.建立SAR分布目标回波信号模型,用于仿真SAR原始数据的产生,用距离多普勒(RD)算法进行成像.模拟计算了一个复杂地形中人工建筑识别的实例,最后采用灰度分割的识别算法进行识别仿真.

关 键 词:SAR成像  环境与目标  模拟  数值双尺度  小面元
文章编号:0427-7104(2006)01-0021-05
收稿时间:2005-01-20
修稿时间:2005-01-20

Simulation of Target Recognition in Complex Environment Based on SAR Imaging
GAN Jiang-tao,XU Feng. Simulation of Target Recognition in Complex Environment Based on SAR Imaging[J]. Journal of Fudan University(Natural Science), 2006, 45(1): 21-25
Authors:GAN Jiang-tao  XU Feng
Affiliation:Department of Communication Science and Engineering, Fudan University, Shanghai 200433, China
Abstract:Based on the combination of facet numerical method and small perturbation approximation(SPA),a numerical two-scale model of rough surface is proposed for SAR imaging simulation of distributed targets scattering.The processing for the echo signal model of SAR distributed targets is established to generate SAR raw data,which is finally used for Range-Doppler algorithm(RD) imaging.As an example,a scene of complex terrain with artificial buildings is simulated and recognized.
Keywords:SAR imaging  environment and targets  simulation  numerical two-scale method  facet
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