Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps

Vision-Based Tunnel Lining Health Monitoring via Bi-Temporal Image Comparison and Decision-Level Fusion of Change Maps

Tunnel structural health inspections are predominantly done through periodic visual observations, requiring humans to be physically present on-site, possibly exposing them to hazardous environments. These surveys are subjective (relying on the surveyor experience), time-consuming, and may demand ope...

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Bibliographic Details
Main Authors: Leanne Attard, Carl James Debono, Gianluca Valentino, Mario Di Castro
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
computer vision
data fusion
tunnel lining inspections
Online Access:https://www.mdpi.com/1424-8220/21/12/4040

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