Snapshot spectral imaging technology enables the capture of complete spectral information of objects in an extremely short period of time, offering wide-ranging applications in fields requiring dynamic observations such as environmental monitoring, medical diagnostics, and industrial inspection. In the past decades, snapshot spectral imaging has made remarkable breakthroughs with the emergence of new computational theories and optical components. From the early days of using various spatial-spectral data mapping methods, they have evolved to later attempts to encode various dimensions of light, such as amplitude, phase, and wavelength, and then computationally reconstruct them. This review focuses on a systematic presentation of the system architecture and mathematical modeling of these snapshot spectral imaging techniques. In addition, the introduction of metasurfaces expands the modulation of spatial-spectral data and brings advantages such as system size reduction, which has become a research hotspot in recent years and is regarded as the key to the next-generation snapshot spectral imaging techniques. This paper provides a systematic overview of the applications of metasurfaces in snapshot spectral imaging and provides an outlook on future directions and research priorities.

中文翻译：

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快照光谱成像：从空间光谱映射到基于超表面的成像

快照光谱成像技术能够在极短的时间内捕获物体的完整光谱信息，在环境监测、医疗诊断、工业检测等需要动态观测的领域具有广泛的应用。在过去的几十年里，随着新的计算理论和光学元件的出现，快照光谱成像取得了显着的突破。从早期使用各种空间光谱数据映射方法，它们已经发展到后来尝试对光的各个维度（例如振幅、相位和波长）进行编码，然后通过计算重建它们。本综述重点介绍这些快照光谱成像技术的系统架构和数学建模。此外，超表面的引入扩展了空间光谱数据的调制，带来系统尺寸减小等优势，成为近年来的研究热点，被视为下一代快照光谱成像技术的关键。本文系统地概述了超表面在快照光谱成像中的应用，并对未来的方向和研究重点进行了展望。