Atmospheric Turbulence Strength Estimation Using Convolution Neural Network

Gao, Siyu; Liu, Xiaoyun; Chen, Yonghao; Jiang, Jinyang; Liu, Ying; Jiang, Yueqiu

doi:10.1109/jphot.2023.3314833

IEEE Photonics J.

2023

DOI: 10.1109/jphot.2023.3314833

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Atmospheric Turbulence Strength Estimation Using Convolution Neural Network

Siyu Gao,

Xiaoyun Liu,

Yonghao Chen

et al.

Abstract: Laser beam transmission in atmospheric turbulence causes image distortion and affects the quality of information transmission in the field of optical communication. The strength

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Estimation of ocean turbulence intensity using convolutional neural networks

Chen,

Liu,

Jiang

et al. 2023

Front. Phys.

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Understanding the transmission of light in ocean turbulence is of great significance for underwater communication, underwater detection, and other fields. The properties of ocean turbulence can affect the transmission characteristics of light beams, therefore it is essential to estimate the ocean turbulence intensity (OTI). In this study, we propose a deep learning-based method for predicting the OTI. Using phase screens to simulate ocean turbulence, we constructed a database of distorted Gaussian beams generated by Gaussian beams passing through ocean turbulence with varying intensities. We built a convolutional neural network and trained it using this database. For the trained network, inputting a distorted beam can accurately predict the corresponding intensity of ocean turbulence. We also compared our designed network with traditional network models such as AlexNet, VGG16, and Xception, and the results showed that our designed network had higher accuracy.

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Estimation of ocean turbulence intensity using convolutional neural networks

Chen,

Liu,

Jiang

et al. 2023

Front. Phys.

Self Cite

View full text Add to dashboard Cite

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Atmospheric Turbulence Strength Estimation Using Convolution Neural Network

Abstract: Laser beam transmission in atmospheric turbulence causes image distortion and affects the quality of information transmission in the field of optical communication. The strength

Cited by 1 publication

References 38 publications

Estimation of ocean turbulence intensity using convolutional neural networks

Estimation of ocean turbulence intensity using convolutional neural networks

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