Segmentation Method of Leak in Tunnel Based on Deep Learning
Aiming at the problem of low efficiency in the inspection of water leakage diseases in tunnel structures,this paper establishes a data set of water leakage diseases with a certain scale based on 3D laser scanning images of tunnel structures,and chooses three classic deep learning models for image segmentation,analyzes and compares the distinctions and differences of the three models in the recognition of water leak disease,and verifies the effectiveness of the deep learning model for image segmentation.
tunnel image of 3D laser scandeep learningdatasetleakage
NETL
NSTL
万方数据
维普
