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Research on Polarization Spectrum Imaging System Based on Orthogonal Modulation |
WU Jin-hui1, 2, YU Jun-zhi1*, LIU Han-qi3, WANG Gao2, 4 |
1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2. National Key Laboratory for Electronic Measurement Technology, Taiyuan 030051, China
3. Beijing Institute of Automatic Control Equipment, Beijing 100074, China
4. Key Laboratory of Instrumentation Science and Dynamic Measurement, North University of China, Taiyuan 030051, China |
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Abstract In order to obtain the complete polarized two-dimensional image information and its spectrum information at the same time, a new polarized spectrum imaging system based on orthogonal modulation is designed. The system consists of optical antenna, phase modulator, Wollaston prism, Savart polarizer, analyzer and imaging module. The original optical signal is decomposed into two beams of mutually orthogonal polarized light, and they are respectively imaged in the upper and lower portions of the focal plane of the CCD, so that it forms two full polarization images. The superposition of the two sets of images can cancel the data of the interference fringes to obtain pure image information of the target. The subtraction of the two sets of images can cancel the target gray scale images to obtain the pure interference fringes of the target. The light intensity distribution function and spectrum variation form were obtained by theoretical calculation. High contrast targets with background plates were used in the experiment, real-time acquisition of fully polarized images was completed in a stable light source environment. The distortion of the interference image is improved by phase correction and apodization, through high-pass filtering and threshold filtering, the influence of background noise in the image is suppressed, so that the extraction of the target image and the restoration of the polarization spectrum are realized. It has the characteristics of high stability, adjustable spectrum resolution, high signal-to-noise ratio and strong ability to identify. It is important to extract the target image, spectrum and polarization information in complex background.
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Received: 2017-08-10
Accepted: 2017-12-30
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Corresponding Authors:
YU Jun-zhi
E-mail: yujunzhinuc@sina.com
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