CycleGAN-Based Data Augmentation for Subgrade Disease Detection in GPR Images with YOLOv5

CycleGAN-Based Data Augmentation for Subgrade Disease Detection in GPR Images with YOLOv5

Vehicle-mounted ground-penetrating radar (GPR) technology is an effective means of detecting railway subgrade diseases. However, existing methods of GPR data interpretation largely rely on manual identification, which is not only inefficient but also highly subjective. This paper proposes a semi-sup...

Full description

Bibliographic Details
Main Authors: Yang Yang, Limin Huang, Zhihou Zhang, Jian Zhang, Guangmao Zhao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
disease detection
ground-penetrating radar
YOLO
GAN
semi-supervised learning
Online Access:https://www.mdpi.com/2079-9292/13/5/830

Similar Items

Similar Items