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Application of Freeman-Durden Decomposition to Polarimetric SAR Interferometry

机译:Freeman-Durden分解在极化SAR干涉测量中的应用

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In this paper the formulation of the Freeman-Durden decomposition has been extended to PolInSAR data sets. The procedurernassumes that the interferometric cross-correlation for the linear basis can be decomposed into the three mechanismsrnconsidered by the Freeman-Durden approach (i.e. direct, double-bounce and volume scattering mechanisms) even thoughrnany other decomposition could be used. In this case the retrieved parameters are defined with magnitude and phase, andrnhence the power contribution is estimated jointly with the phase center of the scattering mechanism. Therefore, the retrievedrnmagnitudes are also associated with their corresponding interferometric phases which are related to the verticalrnlocations and, actually, the results must be analyzed in terms of the VV and HH interferometric cross-correlations. Indoorrnand airborne data have been used for testing the procedure. When compared with the original Freeman-Durden decompositionrnfor PolSAR data some new features have been identified in both datasets as a result of the incorporation of therninterferometric information.
机译:在本文中,Freeman-Durden分解的公式已扩展到PolInSAR数据集。该过程假定,即使可以使用任何其他分解方法,线性基准的干涉互相关也可以分解为Freeman-Durden方法所考虑的三种机制(即直接,双反射和体积散射机制)。在这种情况下,用大小和相位定义检索到的参数,然后与散射机制的相位中心一起估算功率贡献。因此,检索到的幅度还与它们与垂直位置有关的相应的干涉测量相位相关联,实际上,必须根据VV和HH干涉测量互相关来分析结果。室内和机载数据已用于测试程序。与原始Freeman-Durden分解得到的PolSAR数据相比,由于结合了干涉测量信息,在两个数据集中都发现了一些新特征。

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