[CThA13B] Photonic Computing I

[CThA13B-05] Fourier ptychography multi-parameter neural network with composite physical priori optimization

*Delong Yang¹, Shaohui Zhang¹, Chuanjian Zheng¹, Guocheng Zhou¹, Lei Cao¹, Hu Yao¹, Qun Hu Hao¹ (1. Beijing Institution of Technology (China))

[Presentation Style] Online

FPM has high requirements for the system construction and data acquisition processes. In this paper, we propose a Fourier ptychography multi-parameter neural network (FPMN) with composite physical prior optimization. A hybrid parameter determination strategy combining physical imaging model and data-driven network training is proposed to recover the multi layers of the network corresponding to different physical parameters.