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Atmospheric Turbulence Aberration Correction Based on Deep Learning Wavefront Sensing
In this paper, research was conducted on Deep Learning Wavefront Sensing (DLWS) neural networks using simulated atmospheric turbulence datasets, and a novel DLWS was proposed based on attention mechanisms and Convolutional Neural Networks (CNNs). The study encompassed both indoor experiments and kil...
Autores principales: | You, Jiang, Gu, Jingliang, Du, Yinglei, Wan, Min, Xie, Chuanlin, Xiang, Zhenjiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675706/ https://www.ncbi.nlm.nih.gov/pubmed/38005546 http://dx.doi.org/10.3390/s23229159 |
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