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Extraction of power line maps from millimeter-wave polarimetric SAR images

机译:从毫米波极化SAR图像中提取电源线图

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摘要

Radar backscatter of power lines has lower values than those of the surrounding ground clutter when the power line is oriented at an off-normal direction with respect to the radar line of sight. For power lines, the traditional detection algorithms that are commonly based on the statistics of the backscatter power of the clutter and target result in excessive false-alarm rates due to very low signal-to-clutter ratio. The application of a statistical polarimetric detection algorithm that significantly improves the signal-to-clutter ratio is demonstrated. The coherence between the co- and cross-polarized backscatter components is used as the detection parameter. This statistical detection parameter can be applied to any extended targets such as a suspended cable in clutter background. Detection criteria based on clutter backscattering coefficients, power line size, and aspect angle, as well as the number of independent samples are obtained. The performance of the algorithm for mapping power lines in SAR images is demonstrated using a number of low-grazing incidence polarimetric SAR images at 35 GHz.
机译:当电源线相对于雷达视线偏离法线方向时,电源线的雷达后向散射值比周围地面杂波的值低。对于电力线,传统的检测算法通常基于杂波和目标的反向散射功率的统计数据,由于信噪比非常低,导致过高的虚警率。演示了统计极化检测算法的应用,该算法可显着提高信噪比。共极化和反极化反向散射分量之间的相干性被用作检测参数。该统计检测参数可应用于任何扩展目标,例如杂乱背景中的悬浮电缆。获得基于杂波后向散射系数,电源线大小和纵横角以及独立样本数的检测标准。使用许多在35 GHz下的低掠入射极化SAR图像证明了在SAR图像中映射电源线的算法的性能。

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