• Opto-Electronic Engineering
  • Vol. 49, Issue 10, 220130 (2022)
Gang Yang1,2, Yinghui Guo1,2,3, Mingbo Pu1,2,3, Xiong Li1,2, and Xiangang Luo1,2,*
Author Affiliations
  • 1State Key Laboratory of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Research Center on Vector Optical Fields, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
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    DOI: 10.12086/oee.2022.220130 Cite this Article
    Gang Yang, Yinghui Guo, Mingbo Pu, Xiong Li, Xiangang Luo. Miniature computational spectral detection technology based on correlation value selection[J]. Opto-Electronic Engineering, 2022, 49(10): 220130 Copy Citation Text show less
    References

    [40] Li S X, Zhang L Y. Optimal sensitivity design of multispectral camera via broadband absorption filters based on compressed sensing[C]//3rd International Symposium of Space Optical Instruments and Applications, 2017: 329–339. doi: 10.1007/978-3-319-49184-4_33.

    [44] Baraniuk R. Compressive sensing[C]//42nd Annual Conference on Information Sciences and Systems, 2008. doi: 10.1109/CISS.2008.4558479.

    [46] Arad B, Ben-Shahar O. Sparse recovery of hyperspectral signal from natural RGB images[C]//Proceedings of the 14thEuropean Conference on Computer Vision, 2016: 19–34. doi: 10.1007/978-3-319-46478-7_2.

    Gang Yang, Yinghui Guo, Mingbo Pu, Xiong Li, Xiangang Luo. Miniature computational spectral detection technology based on correlation value selection[J]. Opto-Electronic Engineering, 2022, 49(10): 220130
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