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    Journals >Chinese Optics Letters >Volume 21 >Issue 5 >Page 051101 > Article
    • Chinese Optics Letters
    • Vol. 21, Issue 5, 051101 (2023)
    Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging | On the Cover
    Axin Fan1,2, Tingfa Xu1,2,*, Geer Teng1,3, Xi Wang4..., Chang Xu1, Yuhan Zhang1,2, Xin Xu1,2 and Jianan Li1,**|Show fewer author(s)
    Author Affiliations
  • 1Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401151, China
  • 3Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
  • 4School of Printing & Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China
    • show less
    DOI: 10.3788/COL202321.051101 Cite this Article Set citation alerts
    Axin Fan, Tingfa Xu, Geer Teng, Xi Wang, Chang Xu, Yuhan Zhang, Xin Xu, Jianan Li, "Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging," Chin. Opt. Lett. 21, 051101 (2023) Copy Citation Text show less
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    Axin Fan, Tingfa Xu, Geer Teng, Xi Wang, Chang Xu, Yuhan Zhang, Xin Xu, Jianan Li, "Deep learning reconstruction enables full-Stokes single compression in polarized hyperspectral imaging," Chin. Opt. Lett. 21, 051101 (2023)
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