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Analysis of a Residual Model for the Decomposition of Polarimetric SAR Data

机译:Polarimetric SAR数据分解的残余模型分析

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Accurate estimation of the double-bounce scattering fd and surface scattering fs coefficients with Freeman-Durden decomposition is still difficult. This difficulty arises because overestimation of the volume scattering energy contribution Pv leads to negative values for fd and fs. A generalized residual model is introduced to estimate fd and fs. The relationship between Pv and the residual model is analyzed. Eigenvalues computed from the residual model must be positive to explain physical scattering mechanisms. The authors employ a new volumetric scattering model to minimize Pv as calculated by several decomposition methods. It is concluded that decreasing Pv can help reduce negative energy. This conclusion is validated using actual polarimetric SAR data.
机译:准确估计双弹跳散射FD和表面散射FS系数与Freeman-Durden分解仍然很困难。出现这种困难,因为体积散射能量贡献的高估PV导致FD和FS的负值。引入了广义的残余模型来估计FD和FS。分析了PV与残余模型之间的关系。从残留模型计算的特征值必须是正的,以解释物理散射机制。作者采用了一种新的体积散射模型,以最小化PV,按几种分解方法计算。结论是,降低光伏可以帮助降低负能量。使用实际的偏振SAR数据验证该结论。

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