袁志辉, 谷翼策, 邢学敏, 陈立福, 俞晓莹. 顾及叠掩与阴影的多通道InSAR干涉图仿真方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(11): 1717-1727. DOI: 10.13203/j.whugis20190222
引用本文: 袁志辉, 谷翼策, 邢学敏, 陈立福, 俞晓莹. 顾及叠掩与阴影的多通道InSAR干涉图仿真方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(11): 1717-1727. DOI: 10.13203/j.whugis20190222
YUAN Zhihui, GU Yice, XING Xuemin, CHEN Lifu, YU Xiaoying. Multi-channel InSAR Interferograms Simulation Method Considering Layover and Shadow[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1717-1727. DOI: 10.13203/j.whugis20190222
Citation: YUAN Zhihui, GU Yice, XING Xuemin, CHEN Lifu, YU Xiaoying. Multi-channel InSAR Interferograms Simulation Method Considering Layover and Shadow[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1717-1727. DOI: 10.13203/j.whugis20190222

顾及叠掩与阴影的多通道InSAR干涉图仿真方法

Multi-channel InSAR Interferograms Simulation Method Considering Layover and Shadow

  • 摘要: 为了在仿真的干涉图中较好地模拟合成孔径雷达(synthetic aperture radar,SAR)图像中存在的叠掩和阴影现象,为多通道干涉合成孔径雷达(interferometric synthetic aperture radar,InSAR)系统设计及相关算法的研究提供合适的数据源,提出了一种顾及叠掩与阴影情况的多通道InSAR干涉图仿真方法。首先,根据已知的数字高程模型(digital elevation model,DEM)和多通道InSAR系统参数进行计算,获得各个干涉通道对应的真实干涉相位;接着,根据干涉相位的概率密度函数生成相应的相位噪声加入到真实干涉相位中;然后,将叠掩部分的干涉相位进行加权叠加,并将高斯白噪声附加到阴影部分,从而得到顾及叠掩与阴影的多通道InSAR干涉相位图。利用3组不同的DEM进行仿真实验并获得了相应的多通道InSAR干涉图,验证了该方法的有效性。仿真结果及相关分析表明,该方法简单快捷,且考虑到了叠掩及阴影对干涉相位的影响,可为多通道InSAR技术及相关算法的研究提供更符合实际情况的仿真数据。

     

    Abstract:
      Objectives  In order to simulate the phenomenon of layover and shadow in synthetic aperture radar (SAR) images better in the simulated interferogram, and to provide a suitable data source for the design of multi-channel interferometric synthetic aperture radar (InSAR) system and the research of related algorithms, a simulation method of multi-channel InSAR interferogram considering layover and shadow is proposed.
      Methods  Firstly, according to the basic principle of InSAR, the real interferometric phase of each pixel for each interferometric channel is calculated using the DEM and the designed multi-channel InSAR system parameters. Secondly, the corresponding phase noise is generated and added to the real interferometric phase according to the probability density function of the interferometric phase noise. Thirdly, the layover areas and shadow areas are detected according to the exact geometric relationship between the multi-channel InSAR system and the DEM. Fourthly, the initial interferometric phases of the layover areas overlapped in the same resolution unit are weighted superimposed, the initial interferometric phases of the shadow areas obtained in the third step is replaced by Gaussian white noise, and the initial interferometric phases of the other areas are not processed. Therefore, the simulated multi-channel InSAR interferograms that takes into account layover and shadow are obtained.
      Results  Three simulation experiments are carried out with three different groups of DEM. From the simulated interferograms using the proposed method in the three experiments, it can be seen that the interferometric phase in the layover areas is noise or even ambiguous with reverse fringe frequency, and the interferometric phase in the shadow areas is random noise, which are very consistent with the characteristics of the real interferograms. However, the characteristics of the layover area and shadow area cannot be seen in the interferograms simulated by the original method without considering layover and shadow. Thus the effectiveness of the proposed multi-channel InSAR interferograms simulation method is verified.
      Conclusions  The simulation results and related analysis show that the multi-channel InSAR interferograms simulation method is simple and fast, and takes into account the influence of layover and shadow on the interferometric phase, so it can provide more realistic simulation data for the research of multi-channel InSAR techniques and related algorithms.

     

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