2023
DOI: 10.3390/rs15102517
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Multi-Label Classification and Automatic Damage Detection of Masonry Heritage Building through CNN Analysis of Infrared Thermal Imaging

Abstract: In the era of the first Industrial Revolution, many buildings were built with red bricks, and the heritage buildings built at that time are more than 100 years old. In these old heritage buildings, damage is bound to occur due to chemical and physical effects. Technologies such as automatic damage detection can effectively manage damage, but they can be affected by other categories present in heritage buildings. Therefore, this paper proposes a CNN algorithm that can automatically detect cracks and damage that… Show more

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Cited by 7 publications
(2 citation statements)
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“…Research on automatic crack detection is being conducted not only regarding pavements but also in various other fields. In heritage buildings, maintenance is performed based on thermal infrared images and point cloud data [ 12 , 13 ]. In the field of tunnels and pillars, research has not only been conducted to predict joints and cracks in tunnel faces and pillars [ 14 ], but research has also been conducted to predict the ground in front of the tunnel through artificial intelligence technology [ 15 ].…”
Section: Introductionmentioning
confidence: 99%
“…Research on automatic crack detection is being conducted not only regarding pavements but also in various other fields. In heritage buildings, maintenance is performed based on thermal infrared images and point cloud data [ 12 , 13 ]. In the field of tunnels and pillars, research has not only been conducted to predict joints and cracks in tunnel faces and pillars [ 14 ], but research has also been conducted to predict the ground in front of the tunnel through artificial intelligence technology [ 15 ].…”
Section: Introductionmentioning
confidence: 99%
“…DL-based techniques can handle complex, unstructured data and often achieve state-ofthe-art performance. Convolutional neural networks (CNNs) are a class of deep neural networks, most commonly applied to analyze images [11]. CNNs have been used for object detection, classification, and segmentation and consistently exhibit remarkable performance compared to traditional classification algorithms.…”
Section: Introductionmentioning
confidence: 99%