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June 20, 2026ProcessesOpen Access

GPR Noise Reduction Network Based on Multi-Domain Constrained TransUNet

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Authors

XLXintong LiuXLXintong LiuSGShanyao Gao

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Overview

Randomized trial demonstrates improved GPR signal denoising, indicating enhanced weak reflection recovery.

Key Points

  • The aim is to improve ground-penetrating radar (GPR) signal denoising by incorporating physical constraints.
  • Developed a multi-domain constrained TransUNet model for GPR noise reduction.
  • Introduced a frequency-domain multi-scale loss function to enhance weak-signal recovery.
  • Conducted experiments on synthetic and field GPR data to validate the model's performance.
  • Achieved stronger robustness in GPR signal denoising compared to conventional methods.
  • Demonstrated improved fidelity in recovering weak reflections using the proposed loss functions.
  • Experimental results showed competitive denoising performance against existing techniques.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a363274db0793dc1a539062https://doi.org/10.3390/pr14121981
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