基于压缩感知的光谱成像技术研究

Research on Spectral Imaging Technology Based on Compressive Sensing

依据非成像型光谱仪工作特点,结合压缩感知采样和计算重构方法,本文提出了一种基于压缩感知的光谱成像方法。在光谱仪前端搭建压缩采样系统,完成场景的压缩光谱采样,实现光谱和空间分布数据的同时获取,结合计算压缩重构成像方法,实现场景的分波段成像。通过仿真结果和实验结果的分析,说明本文提出的方法的正确性和可行性,能够实现实际场景的光谱数据的压缩采样,并完成指定波段的图像重构。

According to the working characteristics of non-imaging spectrometer, combined with compressed sensing sampling and reconstruction method, this paper presents a spectral imaging method based on compressed sensing. In the front end of the spectrometer, a compression sampling system is set up to complete the compressed spectrum sampling of the scene and achieve the simultaneous acquisition of spectral and spatial distribution data. Combined with the calculation method of the compression reconstruction imaging, the sub-band imaging of the scene is realized. Through the analysis of simulation results and experimental results, the correctness and feasibility of the proposed method are demonstrated. It can achieve the spectral data compression sampling of actual scene and complete the image reconstruction of the specified band.