Deep Learning Based Infrared Thermal Image Analysis of Complex Pavement Defect Conditions Considering Seasonal Effect

Deep Learning Based Infrared Thermal Image Analysis of Complex Pavement Defect Conditions Considering Seasonal Effect

Deep learning techniques underpinned by extensive data sources encompassing complex pavement features have proven effective in early pavement damage detection. With pavement features exhibiting temperature variation, inexpensive infra-red imaging technology in combination with deep learning techniqu...

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Bibliographic Details
Main Authors: Sindhu Chandra, Khaled AlMansoor, Cheng Chen, Yunfan Shi, Hyungjoon Seo
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
summer pavement defect detection
winter pavement defect detection
machine learning
thermal analysis
multichannel image fusion
Online Access:https://www.mdpi.com/1424-8220/22/23/9365

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