Low computational demand stray light correction method for hyperspectral imaging spectrometers
文献类型:期刊论文
作者 | Chen H(陈豪); Li SH(李帅辉)![]() |
刊名 | APPLIED OPTICS
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出版日期 | 2024-09-20 |
卷号 | 63期号:27页码:7232-7243 |
ISSN号 | 1559-128X |
DOI | 10.1364/AO.530526 |
通讯作者 | Li, Shuaihui(lee@imech.ac.cn) |
英文摘要 | Stray light correction in hyperspectral imaging spectrometers has long been restricted by high computational requirements. This paper presents a low computational demand method, based on the matrix operations for spectrometer stray light correction, using an iterative approach to efficiently correct stray light across both spectral and spatial dimensions. The efficacy of this method is demonstrated through its application to simulated and real images, achieving an overall reduction of stray light by over 50%, with significantly reduced computation time and memory usage compared to the method by Zong et al. based on a sparse matrix [Appl. Opt. 45, 1111 (2006)]. By enabling stray light correction on general-purpose computers, this method enhances affordability and accessibility, promoting broader use and reducing measurement uncertainties in various hyperspectral imaging applications. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved. |
分类号 | Q3 |
WOS研究方向 | Optics |
语种 | 英语 |
WOS记录号 | WOS:001419599700001 |
其他责任者 | 李帅辉 |
源URL | [http://dspace.imech.ac.cn/handle/311007/100089] ![]() |
专题 | 力学研究所_高温气体动力学国家重点实验室 |
作者单位 | Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Chen H,Li SH. Low computational demand stray light correction method for hyperspectral imaging spectrometers[J]. APPLIED OPTICS,2024,63(27):7232-7243. |
APA | 陈豪,&李帅辉.(2024).Low computational demand stray light correction method for hyperspectral imaging spectrometers.APPLIED OPTICS,63(27),7232-7243. |
MLA | 陈豪,et al."Low computational demand stray light correction method for hyperspectral imaging spectrometers".APPLIED OPTICS 63.27(2024):7232-7243. |
入库方式: OAI收割
来源:力学研究所
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