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December 5, 2025ElectronicsOpen Access

A Novel Automatic Detection and Positioning Strategy for Buried Cylindrical Objects Based on B-Scan GPR Images

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Authors

YLYubao LiuSun Yat-sen UniversityZZZhihong ZengGuangdong Polytechnic Normal UniversityXSXinyu SunOriginWater (China)

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Overview

DeepMask-GPR demonstrates improved geometric parameter estimation in B-scan images, indicating a leap in detection methods.

Key Points

  • Achieves robust and scalable detection of buried cylindrical objects in ground-penetrating radar images.
  • On validated datasets, DeepMask-GPR shows enhanced visibility in detecting geometric parameters across various depths.
  • Integration of curvature-enhanced inputs with a regression loss function guides effective geometric estimation.
  • Significantly reduces manual processing, enabling field-ready deployment of automatic detection techniques.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/694022532d562116f28fc32bhttps://doi.org/10.3390/electronics14244799
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