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An Intelligent Processing Method for Tunnel Lining Ground Penetrating Radar Data Based on Generative Adversarial Network
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Changyuan NING1, Hongpeng SUN1, Donghao ZHANG2, Weijian SHI3, Siyuan ZHANG3, Hui QIN2
Science Technology and Industry | 2025, 25(9) : 79 - 84
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Science Technology and Industry | 2025, 25(9): 79-84
• Technology Innovation •
An Intelligent Processing Method for Tunnel Lining Ground Penetrating Radar Data Based on Generative Adversarial Network
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Changyuan NING1, Hongpeng SUN1, Donghao ZHANG2, Weijian SHI3, Siyuan ZHANG3, Hui QIN2
Affiliations
  • 1 Longjian Road and Bridge Co., Ltd., Harbin 150036, China
  • 2 School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
  • 3 Longjian Road and Bridge First Engineering Co., Ltd., Harbin 150000, China
Published: 2025-05-10
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Ground penetrating radar(GPR) is widely used for inspecting the quality of tunnel linings. However, the raw GPR data often cannot be directly interpreted and requires various pre-processing such as denoising, gain adjustment, and image smoothing to observe meaningful information. Considering that GPR data processing is currently predominantly manual, with a complex workflow and subjective parameter selection, an end-to-end data processing method is proposed based on generative adversarial network(GAN) that transforms raw GPR data into images with clear signals. The GAN consists of a series of generators and discriminators at different scales, capable of intelligently recognizing both global and local features of GPR data and automatically performing comprehensive processing operations on the raw data. This method has been successfully applied to the processing of actual GPR data for initial lining quality inspection, achieving results comparable to manual processing and a significantly higher data processing efficiency.

tunnel lining  /  ground penetrating radar  /  data processing  /  deep learning  /  generative adversarial network
Changyuan NING, Hongpeng SUN, Donghao ZHANG, Weijian SHI, Siyuan ZHANG, Hui QIN. An Intelligent Processing Method for Tunnel Lining Ground Penetrating Radar Data Based on Generative Adversarial Network[J]. Science Technology and Industry, 2025 , 25 (9) : 79 -84 .
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Year 2025 volume 25 Issue 9
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  • Receive Date：2024-11-04
  • Online Date：2025-07-18
  • Published：2025-05-10
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  • Received：2024-11-04
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Affiliations
    1 Longjian Road and Bridge Co., Ltd., Harbin 150036, China
    2 School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
    3 Longjian Road and Bridge First Engineering Co., Ltd., Harbin 150000, China
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光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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