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Imaging spectrometer can provide both scene image information and spectral information, thus providing in-depth analysis of the composition and characteristics of the scene target. It is an important equipment for observation, analysis and detection. Imaging spectrometers are now emerging as an important market growth point in the field of optoelectronic imaging. This paper presents a compact and lightweight snapshot broadband computational spectral imager, which provides a new approach to VIS-NIR spectral imaging and target identification techniques. Based on the Coded Aperture Snapshot Spectral Imager (CASSI), an imaging method with a shared primary mirror and a dual optical path is proposed. One optical path mainly consists of a coding mask, a relay lens, an Amici prism and a visible near-infrared enhancement detector. Its spatial and spectral resolution is determined by the coding mask and dispersive elements. The optical system finally obtains a blended two-dimensional image on the detector. Another optical path uses a visible NIR-enhanced detector to provide high-resolution spatial information. The high-resolution spectral image information is obtained by a compression-aware reconstruction algorithm. Optical simulations and experimental results show that the system offers significant performance improvements over existing systems, allowing the construction of compact and sensitive spectral imaging systems. We obtained 24 spectral images in the band range 0.44-0.8μm. The new spectral imager introduced in this paper has the advantages of real-time detection, long-range monitoring and high sensitivity. It is especially suitable for Unmanned Aerial Vehicle (UAV) and NanoSat. It can be widely used in the fields of environmental remote sensing, agricultural census, forest survey, vegetation assessment and management, mineral exploration, etc.
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