Hybrid-Supervised-Learning-Based Automatic Image Segmentation for Water Leakage in Subway Tunnels

Hybrid-Supervised-Learning-Based Automatic Image Segmentation for Water Leakage in Subway Tunnels

Quickly and accurately identifying water leakage is one of the important components of the health monitoring of subway tunnels. A mobile vision measurement system consisting of several high-resolution, industrial, charge-coupled device (CCD) cameras is placed on trains to implement structural health...

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Bibliographic Details
Main Authors: Dongwei Qiu, Haorong Liang, Zhilin Wang, Yuci Tong, Shanshan Wan
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
mobile measurement
vision measurement
subway tunnel
structural health monitoring
deep learning
water leakage
Online Access:https://www.mdpi.com/2076-3417/12/22/11799

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https://www.mdpi.com/2076-3417/12/22/11799

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