Acta Optica Sinica, Volume. 44, Issue 16, 1612001(2024)
Method of Particle Field Reconstruction in Light Field Particle Image Velocimetry Based on Deep Residual Neural Networks
[5] Li X H, Wang H W, Huang Z et al. Research advances of tomographic particle image velocimetry[J]. Journal of Experiments in Fluid Mechanics, 35, 86-96(2021).
[13] Atkinson C H, Soria J. Algebraic reconstruction techniques for tomographic particle image velocimetry[C](2007).
[19] Zhu X Y, Zhang B, Li J et al. Reconstruction of tracer particle distribution in light field PIV using pre-recognition-based SART algorithm[J]. Journal of Engineering Thermophysics, 41, 1445-1451(2020).
[25] Jia T. A study of common optimization algorithms for deep learning[J]. Information Technology and Network Security, 38, 42-46(2019).
[26] Liu Y F, Zhang J R. Research advances in deep neural networks learning rate strategies[J]. Control and Decision, 38, 2444-2460(2023).
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Mengxi Fu, Xiaoyu Zhu, Liang Zhang, Chuanlong Xu. Method of Particle Field Reconstruction in Light Field Particle Image Velocimetry Based on Deep Residual Neural Networks[J]. Acta Optica Sinica, 2024, 44(16): 1612001
Category: Instrumentation, Measurement and Metrology
Received: Mar. 11, 2024
Accepted: Apr. 16, 2024
Published Online: Jul. 17, 2024
The Author Email: Zhu Xiaoyu (zhuxiaoyu@seu.edu.cn), Xu Chuanlong (chuanlongxu@seu.edu.cn)