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cs.CV2020
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
Senlin Yang, Zhengfang Wang, Jing Wang +4
This research proposes a Ground Penetrating Radar (GPR) data processing method for non-destructive detection of tunnel lining internal defects, called defect segmentation. To perfo…
cs.CV2019
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Bin Liu, Yuxiao Ren, Hanchi Liu +4
A DNN architecture referred to as GPRInvNet was proposed to tackle the challenges of mapping the ground-penetrating radar (GPR) B-Scan data to complex permittivity maps of subsurfa…