交通节能与环保2025，Vol.21Issue(2)：170-174,5.DOI:10.3969/j.issn.1673-6478.2025.02.033
基于深度学习的探地雷达在路面结构病害诊断中的应用
Application of Deep Learning-based Ground Penetrating Radar in Pavement Structural Disease Diagnosis
侯海 1何坚1
作者信息
- 1. 葛洲坝武汉道路材料有限公司,湖北 武汉 430223
- 折叠
摘要
Abstract
With rapid development of transportation,the diagnosis and maintenance of pavement structural distresses have become increasingly critical.The application of three-dimensional ground-penetrating radar(GPR)in the diagnosis of pavement structural distresses has witnessed significant advancements and is now widely utilized in the diagnosis and assessment of pavement structural distresses.This technology utilizes the non-contact electromagnetic wave detection method to obtain real-time information on the depth and location of pavement distresses.However,traditional algorithms encounter limitations in target identification and classification due to the diverse and intricate nature of pavement distresses.Deep learning,a sophisticated machine learning method employing deep neural networks,plays a crucial role in training and classifying data.By incorporating deep learning techniques,the accuracy and efficiency of ground-penetrating radar targets recognition can be substantially improved.关键词
探地雷达/路面结构病害诊断/目标识别/深度学习Key words
ground penetrating radar(GPR)/diagnosis of structural pavement distresses/target identification/deep learning分类
交通工程引用本文复制引用
侯海,何坚..基于深度学习的探地雷达在路面结构病害诊断中的应用[J].交通节能与环保,2025,21(2):170-174,5.
