Cargando…
Denoising of BOTDR Dynamic Strain Measurement Using Convolutional Neural Networks
The Brillouin optical time domain reflectometry (BOTDR) system measures the distributed strain and temperature information along the optic fibre by detecting the Brillouin gain spectra (BGS) and finding the Brillouin frequency shift profiles. By introducing small gain stimulated Brillouin scattering...
Autores principales: | Li, Bo, Jiang, Ningjun, Han, Xiaole |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964236/ https://www.ncbi.nlm.nih.gov/pubmed/36850362 http://dx.doi.org/10.3390/s23041764 |
Ejemplares similares
-
Multi-View Image Denoising Using Convolutional Neural Network
por: Zhou, Shiwei, et al.
Publicado: (2019) -
Method for Quantum Denoisers Using Convolutional Neural Network
por: Kim, Bong-Hyun, et al.
Publicado: (2022) -
Retracted: Method for Quantum Denoisers Using Convolutional Neural Network
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Transformer Winding Deformation Detection Based on BOTDR and ROTDR
por: Gao, Shuguo, et al.
Publicado: (2020) -
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
por: Jung, Yuyeon, et al.
Publicado: (2022)