Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors
In this study, an algorithm based on convolutional neural networks is employed as an interrogation method for a fiber specklegram sensor. This algorithm is compared with conventional interrogation methods, including correlation between images, measurement of optical power, and radial moments. Fiber...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2024-10-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-5/480507e.html |