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
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出版日期 | 2024-06-03 |
卷号 | 32 |
ISSN号 | 1094-4087 |
DOI | 10.1364/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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