An automatic feature extraction technique for GPR data processing in electromagnetic inverse scattering problems

S. Caorsi, M. Stasolla
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Abstract

This work presents an automatic feature extraction technique for the analysis of GPR data. Despite the rapidly increasing demand for such technology, the interpretation of radargrams is still a specific task which only expert users can accomplish. As a radar probing system, in fact, the GPR is able to measure the backscattered EM waves from buried targets and the travel time of these signals, information which cannot be directly exploited, but that needs to be be used in inverse scattering problems for the evaluation of the dielectric properties and spatial positions of subsurface targets. Starting from a practical example of GPR employment — the reconstruction of pavement's vertical cross section — the evaluation of the two above-mentioned features is carried out through an energy-based method, which ensures high performances and robustness to signal interference.
电磁逆散射问题中探地雷达数据处理的自动特征提取技术
本文提出了一种用于探地雷达数据分析的自动特征提取技术。尽管对这种技术的需求迅速增加,但雷达图的解释仍然是一项只有专业用户才能完成的特定任务。探地雷达作为一种雷达探测系统,实际上能够测量地埋设目标的后向散射电磁波及其传播时间,这些信息不能直接利用,但在反散射问题中需要利用这些信息来评估地下目标的介电特性和空间位置。从探地雷达应用实例路面垂直截面重建出发,采用基于能量的方法对上述两个特征进行评价,保证了较高的性能和对信号干扰的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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