Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data

Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data

Structural health monitoring (SHM) by using remote sensing and synthetic aperture radar (SAR) images is a promising approach to assessing the safety and the integrity of civil structures. Apart from this issue, artificial intelligence and machine learning have brought great opportunities to SHM by l...

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Bibliographic Details
Main Authors: Alireza Entezami, Ali Nadir Arslan, Carlo De Michele, Bahareh Behkamal
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
structural health monitoring
pre-collapse prediction
online learning
remote sensing
small data
bridge
Online Access:https://www.mdpi.com/2072-4292/14/14/3357

Internet

https://www.mdpi.com/2072-4292/14/14/3357

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