• Spectroscopy and Spectral Analysis
  • Vol. 35, Issue 4, 1129 (2015)
ZHAO Hai-bo*, LI Huan, LIN Xu-ling, and WANG Zheng
Author Affiliations
  • [in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2015)04-1129-05 Cite this Article
    ZHAO Hai-bo, LI Huan, LIN Xu-ling, WANG Zheng. Research on Spectral Polarization Imaging System Based on Static Modulation[J]. Spectroscopy and Spectral Analysis, 2015, 35(4): 1129 Copy Citation Text show less

    Abstract

    The main disadvantages of traditional spectral polarization imaging system are:complex structure,with moving parts,low throughput.A novel method of spectral polarization imaging system is discussed,which is based on static polarization intensity modulation combined with Savart polariscope interference imaging.The imaging system can obtain real-time information of spectral and four Stokes polarization messages.Compared with the conventional methods,the advantages of the imaging system are compactness,low mass and no moving parts,no electrical control,no slit and big throughput.The system structure and the basic theory are introduced.The experimental system is established in the laboratory.The experimental system consists of re-imaging optics,polarization intensity module,interference imaging module,and CCD data collecting and processing module.The spectral range is visible and near-infrared (480~950 nm).The white board and the plane toy are imaged by using the experimental system.The ability of obtaining spectral polarization imaging information is verified.The calibration system of static polarization modulation is set up.The statistical error of polarization degree detection is less than 5%.The validity and feasibility of the basic principle is proved by the experimental result.The spectral polarization data captured by the system can be applied to object identification,object classification and remote sensing detection.
    ZHAO Hai-bo, LI Huan, LIN Xu-ling, WANG Zheng. Research on Spectral Polarization Imaging System Based on Static Modulation[J]. Spectroscopy and Spectral Analysis, 2015, 35(4): 1129
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