基于相关性选择的微型计算光谱探测技术

Miniature computational spectral detection technology based on correlation value selection

得益于体积小、结构紧凑、易集成等优势,基于超构表面的微型光谱探测技术近年来被广泛研究。然而,现有基于超构表面的微型光谱探测系统设计过程中,通常缺乏对超构表面透射光谱相关性均值与重建质量的定量分析。现有设计过程中采用随机选择方法,无法保证重建质量最优。本文定量分析了超构表面透射光谱的相关性均值与重建质量的关系,提出了一种用于微型光谱探测的超构表面设计方法。此外,本文还验证了基于超构表面的微型光谱探测技术的光谱特性,相较于随机选择设计方法,本文所提出方法可提高宽带光谱和图像光谱的重建质量。

Benefiting from the advantages of small size,compact structure,and easy integration,miniature spectral detection technologies based on metasurfaces have been widely studied in recent years.However,the existing designs of the metasurfaces-based miniature spectral detection system usually lack the quantitative analysis of the relationship between the average correlation values of the metasurfaces transmission spectra and the reconstruction quality.The random selection method used in the existing design process cannot guarantee the optimal reconstruction quality.This paper quantitatively analyzes the relationship between the average correlation value of the metasurfaces transmission spectra and reconstruction quality,and proposes a design methodology for miniature spectral detection based on metasurfaces.In addition,this paper also verifies the spectral properties of the metasurfaces-based miniature spectral detection technology.Compared with the random selection design methodology,the proposed methodology can improve the reconstruction fidelity of broadband spectral and image signals.