A Method of Defect Depth Estimation for Simulated Infrared Thermography Data with Deep Learning
Infrared thermography has already been proven to be a significant method in non-destructive evaluation since it gives information with immediacy, rapidity, and low cost. However, the thorniest issue for the wider application of IRT is quantification. In this work, we proposed a specific depth quanti...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/19/6819 |