Research On Image Reconstruction Of Compact Optical Interferometric Detection

Interferometric imaging technology is an emerging technique to extract complex coherent information from far-field spatial information for imaging.Compared with conventional optical systems,a compact optical interferometer detector based on photonic integrated interferometric imaging technology achieves great optimization in size,weight and cost at the same resolution.At the same time,combined with the image reconstruction algorithm,the photonic integrated interference imaging can realize highspeed signal transmission and high-quality image reconstruction.Therefore,compact optical interferometric detectors are expected to be a new choice for the next generation of long-distance detection systems.And plays a crucial role in astronomy detection and ground reconnaissance.This paper analyses the imaging performance of the compact optical interference detector,and focuses on the working mechanism and the image reconstruction algorithm.From the structure performance analysis to the key plight,including the following aspects:The background and significance of photon integrated interferometric imaging system are discussed.This paper introduces the research status from the development process of photon integrated interferometric photodetector and the optimization technology of detector imaging performance,and summarizes the different research contents of photon integrated interferometric detection system.The photon integrated interference imaging process is improved,and the system performance and feasibility are analyzed.This paper introduces the basic principles of interferometric imaging technology,summarizes the key devices of photonic integrated circuit,and analyzes the workflow of photonic integrated circuit.Based on the principle of interference and the workflow of photonic integrated circuit,the imaging process of compact optical interference detector is studied.The optical performance,system loss and system sensitivity are discussed,and the advantages and disadvantages of the photon-integrated interferometric photodetector are analyzed.This paper compare the resolution,signal to noise ratio and mass volume of photon-integrated interferometric detector with traditional detector.The image reconstruction method of the detector is explored and developed to improve the target observation quality and detection efficiency.We study the compressed sensing framework,analyze the regular terms,and compare the effects of different regular terms in image reconstruction.The compound regular term is proposed and combined with the primal dual method to optimize the image reconstruction method.We analyze the measurement model of the compact optical interferometer detector,discuss the influence of different noise levels on the imaging quality,and build a graphical interface to simulate the photonic integrated interferometric imaging system through customized parameters.The improved compression sensing algorithm is analyzed by simulation using the optical system measurement model.Combined with the system structure,the time-sharing sampling measurement model is designed,the time-sharing sampling data set is generated,Combined the convolutional neural network,the image reconstruction model based on deep learning is constructed and the deep learning model combined with the system structure is analyzed by simulation.