This paper introduced a snapshot spectral polarization imaging system, compressive space-dimension dual-coded spectropolarimeter (CSDS). CSDS uses a digital micromirror device (DMD), a micro polarizer array detector (MPA) and a prism-grating-prism (PGP) to reconstruct a spectral linear Stocks 4D data cube with 100 channels and 3 Stocks vectors in a single shot. The reconstructed spectral profile is compared with the measurement results from micro-spectrometer (Ocean Optics STS-VIS). The feasibility and fidelity are verified from the image and spectral reconstruction evaluations. It is demonstrated that the target material can be distinguished by CSDS.
Aiming at the problems such as low efficiency of initial structure optimization design of traditional refractive optical system and overreliance on experience in structure selection. In this paper, an initial structure automatic optimization design method of refractive optical system based on deep learning is proposed. The structural characteristic data of the reference lens in the optical lens library are learned through supervised training. Unsupervised training model based on ray tracing is constructed to improve the generalization ability of deep neural network model. Through the network model generated by training, the optical system structure parameters including real glass are output, and the automatic optimal design of the initial structure of the refractive optical system is realized. The design results show that the initial structure spot radius of optical system in full field and full spectrum optimized by network model are close to the reference lens. The initial structure of the optical system can be designed according to different focal length requirements. The success rate of one million initial structures designed in this paper is greater than 96.403%, which indicates that the network model has good generalization ability. The method proposed in this paper contributes to automatically generate the initial structure of the refractive optical system rapidly and provides a new solution for the optimization of complex optical system.
In order to solve the evaluation problem of optical system under partially polarized light conditions caused by single ray tracing method, a full-field and full-pupil ray tracing method based on Stokes is proposed. The analytical relationship among the degrees of polarization (DOP) of the incident ray, the angle of the ray and the DOP of the emitting light is analyzed. The analysis results show that when the difference value between the incident angle and the refracted angle is less than 5.7°, the influence of the system on the DOP of the light can be reduced effectively. According to the space target polarization imaging requirements, a polarization imaging optical system with micro-polarizer array detector is designed. The resolution is 0.5m at the distance of 500km. Dynamic data exchange (DDE) is used to trace the full-field and full-pupil rays for the optimized optical system. Due to the DOP of any field of view can be calibrated, the polarization detecting accuracy of the optical system is improved. Therefore, the target can be recognized by matching the DOP of the incident ray and the DOP of any field of view.
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