Model-based Target Decomposition with Mode Compact Polarimetric SAR Interferometry Data
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摘要: 基于模型的目标分解是极化合成孔径雷达(SAR)的一个重要应用，基于模型目标分解依赖于极化数据仅能获得各散射机制的能量信息。该文将基于模型的分解技术应用到模式的简缩极化干涉SAR(C-PolInSAR)数据中，对互相关矩阵进行分解，在获得各散射机制功率的同时获得对应的散射相位中心。该文首先推导出3种散射机制简缩极化SAR干涉观测下散射模型，然后运用数值计算方法进行目标分解，最终求解出各散射机制的功率贡献及相位中心高度信息。仿真数据验证了该算法的有效性，分析了不同波段及不同地表参数对分解结果的影响。
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关键词:
- 合成孔径雷达(SAR) /
- 模式简缩极化 /
- 简缩极化干涉SAR /
- 模型目标分解
Abstract: The model-based target decomposition is one of the most fundamental applications to the polarimetry SAR. However, it can only retrieve the power information of three scattering mechanisms with polarimetric SAR data. By applying this model-based decomposition technique to the mode Compact Polarimetric SAR Interferometry (C-PolInSAR) data and decomposing the cross correlation matrix, this study can obtain the power contributions of three scattering mechanisms as well as their scattering phase center. Firstly, this study introduces the models corresponding to the three scattering mechanisms under mode C-PolInSAR observation. Then, the targets can be decomposed by the numerical method, and finally both power contributions and scattering center of mechanisms are retrieved. The simulation data validate the effectiveness of the decomposition algorithm and the impacts of different wave-band and different ground parameters on the decomposition results are analyzed. -
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