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Building parameters extraction from PolInSAR image using hybrid method

机译:使用混合方法从PolInSAR图像中提取建筑参数

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PolInSAR is more advantageous than either polarimetric or interferometric SAR alone in extracting information of vertical object structure. Building parameters could be extracted from PolInSAR data based on scattering model by using nonlinear inversion algorithms. However, inversion results are subject to initialization parameters. To overcome this problem, ESPRIT could be introduced combined with scattering model. In this paper, a method based on polarimetric target decomposition and polarimetric correlation coefficient is used to detect building areas and then building parameters are estimated using a hybrid scattering model and ESPRIT algorithm. Experimental results indicate that building parameters could be effectively extracted by the proposed method.
机译:在提取垂直对象结构的信息方面,PolInSAR比单独使用极化或SAR更具优势。通过使用非线性反演算法,可以基于散射模型从PolInSAR数据中提取建筑参数。但是,反演结果受初始化参数的影响。为了克服这个问题,可以结合散射模型引入ESPRIT。本文采用基于极化目标分解和极化相关系数的方法检测建筑面积,然后利用混合散射模型和ESPRIT算法估算建筑参数。实验结果表明,该方法可以有效地提取建筑参数。

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