Interference Removal for Autofocusing of GPR Data From RC Bridge Decks
Interference Removal for Autofocusing of GPR Data From RC Bridge Decks
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DOI：
10.1109/jstars.2015.2402211
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发表时间：
2015-02
影响因子：
5.5
通讯作者：
Xiangmin Wei;Ying Zhang
中科院分区：
文献类型：
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作者：
Xiangmin Wei;Ying Zhang
在用于钢筋混凝土桥面评估的探地雷达(GPR)数据分析中，强干扰会严重影响自动聚焦技术的性能。在本文中，我们提出了一种基于F-K倾角滤波的新方法，以消除包括直达波和交叉钢筋反射在内的干扰。与以往的相关工作不同，该方法将探地雷达信号在粗糙表面和非均匀介质中传播所产生的表面粗糙度和不均匀的交叉钢筋反射精细地模拟为小倾角反射体，从而在F-K倾角滤波中引入倾角弛豫以消除强干扰。首先用模拟数据说明了无倾角松弛的F-K滤波法的机理和钢筋模型的正确性。通过实验和现场资料验证了该方法在适当的倾角松弛条件下的有效性。此外，还将具有足够倾角松弛的F-K倾角滤波方法与探地雷达数据处理中常用的背景减去(BS)方法的性能进行了比较。
Strong interferences can substantially deteriorate the performance of autofocusing techniques in ground penetrating radar (GPR) data analysis for reinforced concrete (RC) bridge deck evaluation. In this paper, we propose a new approach based on F-K dip filtering to remove interferences, including direct waves and cross rebar reflections. Different from previously related work, the surface roughness and uneven cross rebar reflections resulted from GPR signals propagating through rough surface and inhomogeneous medium are carefully modeled as reflectors with small dipping angles, and hence dip relaxations are introduced in the F-K dip filtering to remove strong interferences. The mechanism of the F-K filter without dip relaxation and the correctness of the rebar modeling are first illustrated using simulation data. Then its effectiveness with adequate dip relaxation is demonstrated by both experimental and field data. Additionally, the performance of the F-K dip filter with adequate dip relaxation is also compared with that of the background subtraction (BS) method that is commonly used for direct wave removal in GPR data processing for RC bridge deck evaluation.