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Xiangyu Wang

Guangzhou University

Guangzhou Higher Education Mega Center

Waihuanxi Road 230

Guangzhou, 510006

China

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

Enhanced GPR Detection of Void Defects in Ballastless Track through Deep Learning-Based Clutter Suppression of Rebar and Concrete Aggregates

Number of pages: 36 Posted: 28 Aug 2025
Hai Liu, Heming Peng and Xiangyu Wang
Guangzhou University, Guangzhou University and Guangzhou University
Downloads 43 (1,170,409)

Abstract:

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Ballastless Track Defect Detection \sep Ground Penetrating Radar (GPR) \sep Deep Learning \sep Residual-connected Convolutional Block Attention Module Group (RCBAMG) \sep RefineNet \sep Reverse Time Migration (RTM)