The inspection and monitoring of structural conditions are crucial for the maintenance of
semi-rigid base pavement. To achieve the inverse calculation of material parameters and …

Recently, image restoration has attracted considerable attention from researchers, and
these methods generally restore degraded images based on the atmospheric scattering …

Aiming at the requirements of nondestructive testing and intelligent recognition of cracks
inside the pavement structures, a ground penetrating radar (GPR) detection and automatic …

针对路面结构内部裂缝的无损检测与智能识别需求, 提出一种基于改进的YOLOv8
和AutoAugment 增强的探地雷达检测与图像自动识别方法. 结合Gprmax 数值模拟 …

Ground-penetrating radar (GPR) has been widely used for subsurface detection and testing.
Numerical simulations of GPR signal are commonly performed to aid the interpretation of …

Ground penetrating radar (GPR) images typically depict underground targets as hyperbolas,
which pose a challenging detection task due to their low amplitude and resolution. To …

Ground-penetrating radar (GPR) is a nondestructive near-surface geophysical detection
method, which is often used to locate subgrade diseases in railway subgrade detection …

Ground-penetrating radar (GPR) forward modeling holds significant importance in the
realms of geological exploration, subsurface target detection, and scientific research. With …

针对当前探地雷达(Ground Penetrating Radar, GPR) 图像识别准确率低, 且小目标识别困难等
问题, 本文将YOLOv5 (You Only Look Once) 和ConvNeXt 网络相结合, 提出了一种适用于GPR …

Aiming at the current problems of low accuracy of ground-penetrating radar image
recognition and difficulty in recognizing small targets, this paper combines YOLOv5 and …