Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2101001(2024)
Method for Generating Atmospheric Turbulence Phase Screen Based on Deep Convolutional Generative-Adversarial Networks
[5] Michael C R, Byron M W[M]. Imaging through turbulence, 1-320(1996).
[9] Cong M H. Time correlation analysis of laser beam atmospheric transmission phase screen simulation[D](2020).
[12] Bi C C, Qing C, Qian X M et al. Estimation of atmospheric optical turbulence profile based on back propagation neural network[J]. Laser & Optoelectronics Progress, 58, 2101001(2021).
[13] Su C D. Optical turbulence forecasting and turbulence degraded image restoration based on machine learning[D](2022).
[15] Wei D M, Du Q, Liu F N et al. Fractional vortex beam modes recognition based on I-ResNet network[J]. Acta Optica Sinica, 43, 2326001(2023).
[16] Liu J, Du Q, Liu F N et al. Vortex beam phase correction based on deep phase estimation network[J]. Acta Optica Sinica, 43, 0601013(2023).
Get Citation
Copy Citation Text
Zeyang Wang, Yue Zhu, Yan An. Method for Generating Atmospheric Turbulence Phase Screen Based on Deep Convolutional Generative-Adversarial Networks[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2101001
Category: Atmospheric Optics and Oceanic Optics
Received: Dec. 24, 2023
Accepted: Feb. 27, 2024
Published Online: Nov. 18, 2024
The Author Email: Yan An (anyan_7@126.com)
CSTR:32186.14.LOP232738