Removing Rebar Clutter Through Iterative F-k Migration in GPR Data

Junkai Ge;Huaifeng Sun;Rui Liu;Bo Tian;Ziqiang Zheng;Yongqiang Li
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Abstract

In the ground-penetrating radar (GPR) detection of concrete structures, the reflection of rebar layers often obscures the useful signals below. In this letter, an effective and practical method for removing rebar clutter is proposed. It is based on iterative F-k migration and demigration, combined with real-time mask window and some classic GPR data processing steps. First, we calculate the wave velocity through travel time and layer thickness and migrate the B-scan data. Then, we create a mask window to extract the focused rebar reflection. Finally, the rebar clutter is restored through F-k demigration and removed from the original data. Meanwhile, multiple iterations are performed to ensure the complete removal of rebar clutter. The proposed method is not limited by data size and observation scale. The effectiveness of the proposed method is demonstrated by both numerical simulations and model field experiments.
利用迭代F-k偏移去除GPR数据中的钢筋杂波
在探地雷达探测混凝土结构时,钢筋层的反射往往会掩盖下方有用的信号。本文提出了一种有效实用的去除钢筋杂波的方法。该算法基于迭代的F-k偏移和反偏移,结合实时掩模窗口和一些经典的探地雷达数据处理步骤。首先,通过传播时间和层厚计算波速,并对b扫描数据进行偏移。然后,我们创建一个遮罩窗口来提取聚焦的钢筋反射。最后,通过F-k偏移恢复钢筋杂波,将其从原始数据中去除。同时,进行多次迭代,以确保完全去除钢筋杂波。该方法不受数据大小和观测尺度的限制。数值模拟和模型现场实验验证了该方法的有效性。
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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