Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images

The clutters of rebar in the ground penetrating radar (GPR) images may mask the echoes of the inner defects under the rebars, which adversely affects the identification of the inner structural defects in the reinforced concrete (RC). In this study, a deep learning-based method for rebar clutters rem...

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Bibliographic Details
Main Authors: Jing Wang, Kefu Chen, Hanchi Liu, Jiaqi Zhang, Wenqiang Kang, Shufan Li, Peng Jiang, Qingmei Sui, Zhengfang Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
defect identification
ground penetrating radar (GPR)
rebar
Online Access:https://ieeexplore.ieee.org/document/9452106/

Internet

https://ieeexplore.ieee.org/document/9452106/

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