GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion
for Tunnel Lining

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GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

12 December 2019

Anthony G. Cohn

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Papers citing "GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining"

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Title
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis Xiren Zhou Shikang Liu Xinyu Yan Yizhan Fan Xiangyu Wang Yu Kang Jian Cheng Huanhuan Chen 104 0 0 26 Apr 2025
GPR Full-Waveform Inversion through Adaptive Filtering of Model Parameters and Gradients Using CNN Peng Jiang Kun Wang Jiaxing Wang Z. Feng Shengjie Qiao Runhuai Deng Fengkai Zhang 13 0 0 11 Oct 2024
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models Douba Jafuno A. Mian G. Ginolhac Nickolas Stelzenmuller 56 0 0 20 Sep 2024
Assesment of material layers in building walls using GeoRadar Ildar F. Gilmutdinov Ingrid Schloegel A. Hinterleitner Peter Wonka Michael Wimmer 18 2 0 25 Aug 2022
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network Senlin Yang Zhengfang Wang Jing Wang Anthony G. Cohn Jiaqi Zhang Peng-Tao Jiang L. Nie Q. Sui 26 35 0 29 Mar 2020