Miniature computational spectral detection technology based on correlation value selection

Gang Yang; Yinghui Guo; Mingbo Pu; Xiong Li; Xiangang Luo

doi:10.12086/oee.2022.220130

Opto-Electronic Engineering, Volume. 49, Issue 10, 220130(2022)

Miniature computational spectral detection technology based on correlation value selection

Gang Yang^1,2, Yinghui Guo^1,2,3, Mingbo Pu^1,2,3, Xiong Li^1,2, and Xiangang Luo^1,2、*

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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References(3)

[40] [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] [44] Baraniuk R. Compressive sensing[C]//42nd Annual Conference on Information Sciences and Systems, 2008. doi: 10.1109/CISS.2008.4558479.

[46] [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.

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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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Paper Information

Category: Article

Received: Jun. 16, 2022

Accepted: --

Published Online: Dec. 12, 2022

The Author Email: Luo Xiangang (lxg@ioe.ac.cn)

DOI:10.12086/oee.2022.220130

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