A multi-path encoder network for gpr data inversion to improve defect detection in reinforced concrete

HIGHLIGHTS

• who: Yuanzheng Wang et al. from the State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China have published the research work: A Multi-Path Encoder Network for GPR Data Inversion to Improve Defect Detection in Reinforced Concrete, in the Journal: (JOURNAL)
• what: The authors first introduce the design of inversion network. The authors demonstrate the effectiveness of the inversion approach using the GPR data acquired from a physical model experiment to validate the practicality of the proposed method on real-world GPR data. In this research, a novel deep learning . . .
  

   

  

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