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

被引:0
|
作者
Ge, Junkai [1 ,2 ]
Sun, Huaifeng [1 ,2 ]
Liu, Rui [1 ,2 ]
Tian, Bo [3 ]
Zheng, Ziqiang [1 ,2 ]
Li, Yongqiang [4 ]
机构
[1] Shandong Univ, Inst Geotech & Underground Engn, Jinan 250061, Shandong, Peoples R China
[2] Shandong Univ, Lab Earth Electromagnet Explorat, Jinan 250061, Shandong, Peoples R China
[3] Highway Minist Transport, Res Inst, Beijing 100088, Peoples R China
[4] Northwest Res Inst Co Ltd, China Railway Engn Corp, Lanzhou 730000, Gansu, Peoples R China
关键词
Clutter; Reflection; Iterative methods; Data mining; Numerical models; Image restoration; Geoscience and remote sensing; Filtering; Electromagnetic scattering; Concrete; Concrete defects detection; F-k migration; ground-penetrating radar (GPR); rebar clutter;
D O I
10.1109/LGRS.2024.3515956
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页数:5
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