Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning
Detecting defects on aerospace surfaces is critical to ensure safety and maintain the integrity of aircraft structures. Traditional methods often need more precision and efficiency for effective defect detection. This paper proposes an innovative approach that leverages deep learning and infrared im...
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Main Authors: | Leith Bounenni, Mohamed Arbane, Clemente Ibarra-Castanedo, Yacine Yaddaden, Sreedhar Unnikrishnakurup, Andrew Ngo Chun Yong, Xavier Maldague |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
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Series: | NDT |
Subjects: | |
Online Access: | https://www.mdpi.com/2813-477X/2/4/32 |
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