首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Polarization effects in 3D vectorial-induced current reconstructions
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Polarization effects in 3D vectorial-induced current reconstructions

机译:3D矢量感应电流重建中的极化效应

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摘要

In tomography algorithms, the complex amplitude scattering matrix corresponds to the input parameter. When considering 3D targets, the scattering matrix now contains vectorial information. Thus, this scattering matrix might be calculated with various polarization projections. Moreover, when dealing with experimental data, we are almost every time faced with truncated data. We focus here on the impact of selecting parts of the amplitude scattering matrix elements versus others and in particular on the influence of the polarization choices on the imaging results. In order to better apprehend the physical content associated to each polarization term, the study is conducted with a simple vectorial-induced current reconstruction algorithm allowing reconstruction of qualitative maps of the scene. This algorithm is applied on scaled models of aggregates combined with experimental scattered fields acquired in the microwave frequency range.
机译:在层析成像算法中,复振幅散射矩阵对应于输入参数。在考虑3D目标时,散射矩阵现在包含矢量信息。因此,可以利用各种偏振投影来计算该散射矩阵。此外,在处理实验数据时,我们几乎每次都面临截断数据的问题。在此,我们集中于选择振幅散射矩阵元素相对于其他元素的影响,尤其是偏振选择对成像结果的影响。为了更好地理解与每个极化项相关的物理内容,使用简单的矢量感应电流重建算法进行了研究,该算法允许重建场景的定性图。该算法适用于骨料的比例模型,结合在微波频率范围内获得的实验性散射场。

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