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

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.

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Publication Details

Journal
IEEE Geoscience and Remote Sensing Letters
Published
2024-12-11
DOI
https://doi.org/10.1109/lgrs.2024.3515956
Citations
6
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
2.01

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article

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

Huaifeng Sun, Ziqiang Zheng, Rui Liu, Yongqiang Li et al.
6 citations
IEEE Geoscience and Remote Sensing Letters
Geophysical Methods and Applications
2.01
article

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

Huaifeng Sun, Ziqiang Zheng, Rui Liu, Yongqiang Li, Bo Tian, Junkai Ge
article en
6 citations

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.

IEEE Geoscience and Remote Sensing LettersVol. 22
Shandong University (CN), China Railway Corporation (CN), Ministry of Transport (CN), Research Institute of Highway (CN), Geological Exploration Institute of Shandong Zhengyuan (CN)
National Key Research and Development Program of China
Reduced inequalities
Openalex Percentile: Top 14%
Geophysical Methods and Applications
2.01
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Removing Rebar Clutter Through Iterative F-k Migration in GPR Data — Huaifeng Sun, Ziqiang Zheng, et al. · IEEE Geoscience and Remote Sensing Letters (2024) | TGRS Research Map | TGRS