Review of Image-Processing-Based Technology for Structural Health Monitoring of Civil Infrastructures

The continuous monitoring of civil infrastructures is crucial for ensuring public safety and extending the lifespan of structures. In recent years, image-processing-based technologies have emerged as powerful tools for the structural health monitoring (SHM) of civil infrastructures. This review prov...

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Bibliographic Details
Published in:Journal of imaging 2024-04, Vol.10 (4), p.93
Main Authors: Kim, Ji-Woo, Choi, Hee-Wook, Kim, Sung-Keun, Na, Wongi S
Format: Article
Language:English
Subjects:
Acoustics
Artificial intelligence
Cameras
Corrosion
Cracks
Damage detection
damage type
Decision making
Drones
Empowerment
Evaluation
Heat detection
Image enhancement
Image processing
Imaging techniques
Infrared radiation
Infrastructure
Inspections
Lidar
Machine learning
Methods
Nondestructive testing
Public safety
Registration
Satellite imagery
Sensors
Strain gauges
Structural health monitoring
Technology application
Temperature
Thermography
Unmanned aerial vehicles
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Summary:The continuous monitoring of civil infrastructures is crucial for ensuring public safety and extending the lifespan of structures. In recent years, image-processing-based technologies have emerged as powerful tools for the structural health monitoring (SHM) of civil infrastructures. This review provides a comprehensive overview of the advancements, applications, and challenges associated with image processing in the field of SHM. The discussion encompasses various imaging techniques such as satellite imagery, Light Detection and Ranging (LiDAR), optical cameras, and other non-destructive testing methods. Key topics include the use of image processing for damage detection, crack identification, deformation monitoring, and overall structural assessment. This review explores the integration of artificial intelligence and machine learning techniques with image processing for enhanced automation and accuracy in SHM. By consolidating the current state of image-processing-based technology for SHM, this review aims to show the full potential of image-based approaches for researchers, engineers, and professionals involved in civil engineering, SHM, image processing, and related fields.
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging10040093