中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learnable sparse dictionary compressed sensing for channeled spectropolarimeter

文献类型:期刊论文

作者Huang, Chan2; Liu, Huanwen2; Zhang, Hanyuan2; Wu, Su1; Jiang, Xiaoyun2; Fang, Yuwei2; Zhou, Leiming2; Hu, Jigang2
刊名OPTICS EXPRESS
出版日期2024-06-03
卷号32
ISSN号1094-4087
DOI10.1364/OE.518509
通讯作者Hu, Jigang(hujigang@hfut.edu.cn)
英文摘要Channeled spectropolarimetry enables real-time measurement of the polarimetric spectral information of the target. A crucial aspect of this technology is the accurate reconstruction of Stokes parameters spectra from the modulated spectra obtained through snapshot measurements. In this paper, a learnable sparse dictionary compressed sensing method is proposed for channeled spectropolarimeter (CSP) spectral reconstruction. Grounded in the compressive sensing framework, this method defines a variable sparse dictionary. It can learn prior knowledge from the measured modulated spectra, continuously optimizing its own structure and parameters iteratively by removing redundant basis functions and refining the matched basis functions. The learned sparse dictionary, post -training, can provide a more accurate sparse representation of the Stokes parameters spectra, enabling the proposed method to achieve more precise reconstruction results. To assess the efficacy of the proposed method, simulations and experiments were conducted, both of which consistently demonstrated the superior performance of the proposed approach. The suggested method is well -positioned to enhance the efficiency and accuracy of polarimetric spectral information retrieval in CSP applications. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
WOS关键词RETARDATION ERRORS ; ALIGNMENT ; CALIBRATION ; POLARIMETRY
资助项目National Natural Science Foundation of China[62305098] ; National Natural Science Foundation of China[12204140] ; National Natural Science Foundation of China[62075053] ; National Natural Science Foundation of China[U20A20216] ; National Natural Science Foundation of China[62205246] ; University Synergy Innovation Program of Anhui Province[GXXT-2022-014] ; Fundamental Research Funds for the Central Universities[PA2020GDKC0024] ; Fundamental Research Funds for the Central Universities[JZ2022HGTA0340] ; Fundamental Research Funds for the Central Universities[JZ2022HGQA0201] ; Natural Science Foundation of Anhui Province[JZ2022AKZR0437]
WOS研究方向Optics
语种英语
WOS记录号WOS:001249743500008
出版者Optica Publishing Group
资助机构National Natural Science Foundation of China ; University Synergy Innovation Program of Anhui Province ; Fundamental Research Funds for the Central Universities ; Natural Science Foundation of Anhui Province
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/136493]  
专题中国科学院合肥物质科学研究院
通讯作者Hu, Jigang
作者单位1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Anhui, Peoples R China
2.Hefei Univ Technol, Sch Phys, Dept Opt Engn, Hefei 230601, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Huang, Chan,Liu, Huanwen,Zhang, Hanyuan,et al. Learnable sparse dictionary compressed sensing for channeled spectropolarimeter[J]. OPTICS EXPRESS,2024,32.
APA Huang, Chan.,Liu, Huanwen.,Zhang, Hanyuan.,Wu, Su.,Jiang, Xiaoyun.,...&Hu, Jigang.(2024).Learnable sparse dictionary compressed sensing for channeled spectropolarimeter.OPTICS EXPRESS,32.
MLA Huang, Chan,et al."Learnable sparse dictionary compressed sensing for channeled spectropolarimeter".OPTICS EXPRESS 32(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

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