极化(电化学)
光学
光谱密度
计算机科学
物理
多维系统
辐射
图像分辨率
算法
电子工程
光谱成像
线极化
光谱分辨率
复杂系统
高分辨率
电磁频谱
探测理论
谱线
布鲁斯特角
统计能力
作者
Haoyang He,Fangxing Lai,Yan Zhang,Xue Zhang,Chenyi Tian,Xin Li,Yongtian Wang,Shumin Xiao,Lingling Huang
标识
DOI:10.29026/oea.2025.250015
摘要
Spectral and polarization information are crucial for characterizing the composition and surface morphology of various materials. However, traditional spectral and polarization detection systems are hampered by bulky, single-function optical components and complex configurations, hindering the portable, low-cost, and multifunctional applications in compact, field-deployable devices. In this study, we introduce a miniaturized near-infrared (NIR) spectro-polarimetric detection device utilizing a group of meta-spectro-polarimeters (MSPs), which support quasi-bound states in the continuum (Q-BIC) under specific incident polarization, significantly reducing the spatial footprint and improving the design scalability. By precisely adjusting the high quality resonances and polarization sensitive radiation behavior of MSPs, we not only extend the number of spectral waveband to 20 that greatly surpassing traditional division-of-amplitude or division-of-time schemes, but also ensure an average spectral resolution power (SRP, λ/Δλ) of 71.03. We achieve high accuracy multidimensional spectro-polarization detection, resulting in the angle of linear polarization (AoLP) with an average error of 4.67° and precise spectrum reconstruction in a machine-learning free way, avoiding the huge computational power and energy during the training process. Additionally, we demonstrate the high spectro-polarimetric imaging performance of our system in different experimental scene. Such multidimensional detection device holds great promise for adoption in fields like aerospace, chemical detection, machine vision, and so on.
科研通智能强力驱动
Strongly Powered by AbleSci AI