Broadband Near-Infrared Compressive Spectral Imaging System With Reflective Structure

作者：Yutong Li, Zhenming Yu, Zhang Wei, Liming Cheng, Jiayu Di, Liang Lin, Jingyue Ma, Tongshuo Zhang, Yue Zhou, Haiying Zhao, Kun Xu · 发表于：IEEE Photonics Technology Letters · 年份：2025 · DOI：10.1109/lpt.2026.3670493 · 被引用次数：1 · 研究领域：Engineering

Near-infrared (NIR) hyperspectral imaging has become a critical tool in modern analytical science. However, conventional NIR hyperspectral imaging systems face challenges such as 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 that cover 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.