Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure
Yutong Li, Zhenming Yu, Liming Cheng, Jiayu Di, Liang Lin, Jingyue Ma, Tongshuo Zhang, Yue Zhou, Haiying Zhao, Kun Xu

TL;DR
This paper introduces a compact broadband near-infrared hyperspectral imaging system that captures data from 700 to 1600 nm using a novel reflective optical design and wavelength segmentation, overcoming traditional hardware limitations.
Contribution
A novel broadband NIR compressive spectral imaging system with a reflective structure and wavelength segmentation, enabling efficient hyperspectral data capture from 700 to 1600 nm.
Findings
Captures hyperspectral data across 700-1600 nm range.
System is compact due to reflective optical design.
Overcomes hardware spectral limitations.
Abstract
Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges including high cost, bulky instrumentation, and inefficient data collection. In this work, we demonstrate a broadband NIR compressive spectral imaging system that is capable of capturing hyperspectral data covering a broad spectral bandwidth ranging from 700 to 1600 nm. By segmenting wavelengths and designing specialized optical components, our design overcomes hardware spectral limitations to capture broadband data, while the reflective optical structure makes the system compact. This approach provides a novel technical solution for NIR hyperspectral imaging.
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Taxonomy
TopicsOptical Imaging and Spectroscopy Techniques · Optical Polarization and Ellipsometry · Optical Systems and Laser Technology
