Automatic detection of single-hyperbola pipeline signatures in urban roads using data-augmented ground penetrating radar profiles
Authors:
- Xiao-Song TangXTXiao-Song Tang
- Yun ZhouYZYun Zhou
- Feng YangFYFeng Yang
- Jia-Lin LiuJLJia-Lin Liu
- Jian-She ZhaoJZJian-She Zhao
- Su-Ping PengSPSu-Ping Peng
- Jun-Li NieJNJun-Li Nie
Open Access
- 29 November 2025
- journal article
- Published by Elsevier in Results in Engineering
- Vol. 29
Abstract
No abstract availableFunding Information
- National University's Basic Research Foundation of China (BBJ2025073)
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China (52427901)
- National Natural Science Foundation of China (42264008)
This publication has 29 references indexed in Scilit:
- Advanced vehicle monitoring in smart port utilizing deep denoising real-time object detectors integrated multi-resolution attention-augmented CRNNAin Shams Engineering Journal, 2025
- Integrated ground penetrating radar and deep learning approach for rebar diameter classification in concrete elementsFrontiers of Structural and Civil Engineering, 2025
- Wolfberry recognition and picking-point localization technology in natural environments based on improved Yolov8n-Pose-LBDComputers and Electronics in Agriculture, 2024
- YOLO-CG-HS: A lightweight spore detection method for wheat airborne fungal pathogensComputers and Electronics in Agriculture, 2024
- Excellent tomato detector based on pruning and distillation to balance accuracy and lightweightComputers and Electronics in Agriculture, 2024
- Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentationAutomation in Construction, 2021
- Evaluation Metrics for Conditional Image GenerationInternational Journal of Computer Vision, 2021
- Detection and localization of rebar in concrete by deep learning using ground penetrating radarAutomation in Construction, 2020
- Automatic hyperbola detection and fitting in GPR B-scan imageAutomation in Construction, 2019
- Using pattern recognition to automatically localize reflection hyperbolas in data from ground penetrating radarComputers & Geosciences, 2013