双通道衍射计算成像光谱仪系统

Double channels diffractive computational imaging spectrometer system

  • 摘要: 常规衍射光谱成像系统采用单通道方案,主要针对简单图形目标或光谱特征已知的气体目标进行模拟仿真和光谱成像实验。而当目标为自然场景等复杂景物时,成像系统的光谱解算效果和精度难以保证。针对复杂景物成像,设计了一套双通道可见近红外衍射计算成像光谱仪系统,在常规单通道衍射成像光谱仪系统的基础上,增加一路全色相机成像,可以为衍射成像通道提供复杂景物的全色信息和先验知识。将两个通道的数据进行联合处理,提升最终的光谱数据反演效果和反演精度。介绍了系统组成和基本原理,分析了系统性能,利用仿真程序模拟了系统成像过程。在实验室搭建了可见近红外衍射计算成像光谱原理验证装置。对实验得到的450~800 nm的可见近红外混叠光谱数据进行光谱复原。利用海洋光学光谱仪测试色板的光谱曲线作为标准谱线,与复原得到的光谱数据进行对比,反演的光谱数据平均精度优于90%。通过衍射计算成像原理分析、模拟仿真和原理实验,验证了双通道衍射计算成像系统原理的正确性,能够反演得到精度优于90%的复杂景物光谱数据,提升了衍射成像光谱系统应用潜力和应用价值。

     

    Abstract: The conventional diffraction spectrum imaging system adopts the single channel scheme, which mainly carries out simulation and spectral imaging experiments for simple graphic targets or gas targets with known spectral characteristics. When the target is a complex scene such as natural scene, the spectral solution effect and accuracy of the imaging system are difficult to ensure. For the imaging of complex scenery, a dual channel visible and near-infrared diffraction computational imaging spectrometer system was designed. Based on the conventional single channel diffraction imaging spectrometer system, adding a panchromatic camera imaging coluld provide panchromatic information and a priori knowledge of complex scenes for diffraction imaging channels. The data of the two channels were jointly processed to improve the final spectral data inversion effect and inversion accuracy. The system composition and basic principle were introduced, the system performance was analyzed, and the imaging process of the system was simulated by using the simulation program. A verification device for the principle of visible and near-infrared diffractive computational imaging spectrometer system was built in the laboratory. Spectral restoration was carried out on the visible and near-infrared aliasing spectral data of 450-800 nm. Using the spectral curve of the color plate tested by ocean optics spectrometer as the standard spectral line, compared with the restored spectral data, the average accuracy of the retrieved spectral data was better than 90%. Through theoretical analysis, system simulation and imaging experiment, the correctness and feasibility of the system principle were verified. It can obtain better spectral solution effect and accuracy of complex scenery, and improve the application potential and application value of diffraction imaging spectral system.

     

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