Suppr超能文献

基于全介质超表面的随机滤色器用于紧凑型高光谱成像。

Random color filters based on an all-dielectric metasurface for compact hyperspectral imaging.

作者信息

Wu Zhipeng, Zhang Zhiqing, Xu Yijing, Zhai Yusheng, Zhang Canran, Wang Bozhi, Wang Qilong

出版信息

Opt Lett. 2022 Sep 1;47(17):4548-4551. doi: 10.1364/OL.469097.

Abstract

Metasurface filters are a compact, lightweight, and inexpensive solution for the miniaturized hyperspectral imaging system. However, the emerging applicability of these filters is limited by the trade-off between spatial and spectral resolutions. In this study, we establish and experimentally demonstrate a compact hyperspectral photodetection method using random all-dielectric metasurface filters that are directly integrated on the detectors. Based on compressive sensing algorithms, the compact photodetectors can accurately reconstruct the incident spectrum in the visible range. The minimum full width at half maximum (FWHM) of the spectrum reconstructed is 4.8 nm, which fully satisfies the requirements of hyperspectral imaging. The proposed method may be applied in the design, development, and measurement of compact hyperspectral imaging systems.

摘要

超表面滤波器是一种用于小型化高光谱成像系统的紧凑、轻便且经济的解决方案。然而,这些滤波器的新兴适用性受到空间分辨率和光谱分辨率之间权衡的限制。在本研究中,我们建立并通过实验证明了一种紧凑的高光谱光电探测方法,该方法使用直接集成在探测器上的随机全介质超表面滤波器。基于压缩感知算法,紧凑型光电探测器能够在可见光范围内准确重建入射光谱。重建光谱的最小半高宽(FWHM)为4.8 nm,完全满足高光谱成像的要求。所提出的方法可应用于紧凑型高光谱成像系统的设计、开发和测量。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验