Railway Subgrade Defect Automatic Recognition Method Based on Improved Faster R-CNN

• Published in: Scientific programming Vol. 2018; no. 2018; pp. 1 - 12
• Main Authors: Xu, Xinjun, Yang, Feng, Lei, Yang
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc
• Subjects: Defects; Ground penetrating radar; Machine learning; Shape recognition; Subgrades

Railway subgrade defect is the serious threat to train safety. Vehicle-borne GPR method has become the main railway subgrade detection technology with its advantages of rapidness and nondestructiveness. However, due to the large amount of detection data and the variety in defect shape and size, defe...