Automatic Detection Method for Surface Diseases of Shield Tunnel Based on Deep Learning

Automatic Detection Method for Surface Diseases of Shield Tunnel Based on Deep Learning

In order to achieve high-precision pixel-level detection of multiple surface diseases in metro shield tunnels, a semantic segmentation model SU-ResNet++ based on deep learning is proposed. First, the encoder SE-ResNet50 based on residual unit and attention mechanism is designed and pre-trained, usin...

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Bibliographic Details
Main Author: WANG Baokun, WANG Rulu, CHEN Jinjian, PAN Yue, WANG Lujie
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2024-11-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
metro shield tunnel
dataset construction
semantic segmentation
deep transfer learning
u-net++ networks
Online Access:https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1716.shtml
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https://xuebao.sjtu.edu.cn/article/2024/1006-2467/1006-2467-58-11-1716.shtml

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