Wang, J.; Zhang, D.; Zhang, Y.; Yin, W.; Yu, B.; Jiang, T.; Mo, Y.; Fan, C.; Zhang, J.
Principal Component Analysis-Based Convolutional Neural Networks for Atmospheric Turbulence Aberration Correction and the Optimal Preprocessing Strategy Research. Photonics 2026, 13, 326.
https://doi.org/10.3390/photonics13040326
AMA Style
Wang J, Zhang D, Zhang Y, Yin W, Yu B, Jiang T, Mo Y, Fan C, Zhang J.
Principal Component Analysis-Based Convolutional Neural Networks for Atmospheric Turbulence Aberration Correction and the Optimal Preprocessing Strategy Research. Photonics. 2026; 13(4):326.
https://doi.org/10.3390/photonics13040326
Chicago/Turabian Style
Wang, Jiangpuzhen, Danni Zhang, Ying Zhang, Wanhong Yin, Bing Yu, Tao Jiang, Yunlong Mo, Chengyu Fan, and Jinghui Zhang.
2026. "Principal Component Analysis-Based Convolutional Neural Networks for Atmospheric Turbulence Aberration Correction and the Optimal Preprocessing Strategy Research" Photonics 13, no. 4: 326.
https://doi.org/10.3390/photonics13040326
APA Style
Wang, J., Zhang, D., Zhang, Y., Yin, W., Yu, B., Jiang, T., Mo, Y., Fan, C., & Zhang, J.
(2026). Principal Component Analysis-Based Convolutional Neural Networks for Atmospheric Turbulence Aberration Correction and the Optimal Preprocessing Strategy Research. Photonics, 13(4), 326.
https://doi.org/10.3390/photonics13040326
