Zheng Yan, Zhang Liu, Song Ying, Zhang Jia-Kun, Lu Yong-Nan
College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin 130012, China.
National Engineering Research Center of Geophysics Exploration Instruments, Jilin University, Changchun, Jilin 130061, China.
iScience. 2024 Apr 8;27(8):109700. doi: 10.1016/j.isci.2024.109700. eCollection 2024 Aug 16.
This paper presents the design of an ultra-wide-angle multispectral narrow-band absorber for reconstructing infrared spectra. The absorber offers several advantages, including polarization sensitivity, robustness against structural wear, wide azimuthal angle coverage, high narrow-band absorption, and adjustable working wavelength. To accomplish infrared spectrum reconstruction, an absorber is employed as a spectral sampling channel, eliminating the influence of slits or complex optical splitting elements in spectral imaging technology. Additionally, we propose using a truncation regularization algorithm based on the design matrix singular value ratio, namely IReg, which can enable high-precision spectral reconstruction under largely disturbed environments. The results demonstrate that, even when the number of absorption spectrum curve is reduced to a range of 1/2 to 1/3, high-precision spectral reconstruction is achievable for both flat and high-energy steep mid- and long-infrared spectral targets, while effectively accomplishing data dimension reduction.
本文介绍了一种用于重建红外光谱的超广角多光谱窄带吸收器的设计。该吸收器具有多种优势，包括偏振敏感性、抗结构磨损性、宽方位角覆盖范围、高窄带吸收率以及可调节的工作波长。为了实现红外光谱重建，采用吸收器作为光谱采样通道，消除了光谱成像技术中狭缝或复杂光学分光元件的影响。此外，我们提出基于设计矩阵奇异值比使用截断正则化算法，即IReg，它能够在受到严重干扰的环境下实现高精度光谱重建。结果表明，即使吸收光谱曲线数量减少到1/2至1/3的范围，对于平坦和高能陡峭的中红外和长红外光谱目标，仍可实现高精度光谱重建，同时有效完成数据降维。
