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Journals >Advanced Photonics Nexus >Volume 3 >Issue 6 >Page 066014 > Article

Advanced Photonics Nexus
Vol. 3, Issue 6, 066014 (2024)

AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling

Feiyu Guan^1,†, Yuanchao Liu², Xuechen Niu¹, Weihua Huang¹..., Wei Li³, Peichao Zheng³, Deng Zhang⁴, Gang Xu^5,* and Lianbo Guo^1,*|Show fewer author(s)

Author Affiliations

¹Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China

²City University of Hong Kong, Department of Physics, Hong Kong, China

³Chongqing University of Posts and Telecommunications, School of Optoelectronic Engineering, Chongqing, China

⁴Nanjing Normal University, School of Computer and Electronic Information, Nanjing, China

⁵Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China

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DOI: 10.1117/1.APN.3.6.066014 Cite this Article Set citation alerts

Feiyu Guan, Yuanchao Liu, Xuechen Niu, Weihua Huang, Wei Li, Peichao Zheng, Deng Zhang, Gang Xu, Lianbo Guo, "AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling," Adv. Photon. Nexus 3, 066014 (2024) Copy Citation Text

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References

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Feiyu Guan, Yuanchao Liu, Xuechen Niu, Weihua Huang, Wei Li, Peichao Zheng, Deng Zhang, Gang Xu, Lianbo Guo, "AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling," Adv. Photon. Nexus 3, 066014 (2024)

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