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量子点光谱成像技术与重建仿真
引用本文:王英俊,周锦松,魏立冬,张桂峰,朱东亮,郭三维,唐宏武,庞代文.量子点光谱成像技术与重建仿真[J].光谱学与光谱分析,2018,38(3):869-876.
作者姓名:王英俊  周锦松  魏立冬  张桂峰  朱东亮  郭三维  唐宏武  庞代文
作者单位:1. 中国科学院计算光学成像技术重点实验室,中国科学院光电研究院,北京 100094
2. 中国科学院大学,北京 100049
3. 武汉大学生物医学分析化学教育部重点实验室,化学与分子科学学院,高等研究院,湖北 武汉 430072
基金项目:中国科学院创新基金项目(CXJJ-16S043,CXJJ-15S154),国家自然科学基金项目(61405203,61405204)资助
摘    要:为满足机载星载平台对光谱成像系统紧凑型和轻量化的需求,克服当前光谱成像技术分光系统结构复杂、成本高的不足,提出了基于量子点材料的光谱成像技术方案。将条带状的量子点阵列片放置于前置镜焦面前,利用量子点材料对光谱的吸收特性对探测目标的入射光谱进行调制,使用最小二乘法建立探测目标的光谱重建模型,采用推扫的方式获取数据并进行光谱重建可以获得目标光谱和空间信息。量子点光谱成像技术具有光谱分辨率高、能量利用率高、体积小、光谱范围宽和成本低等优势。分析了不同光谱谱段间隔和噪声等因素对重建光谱分辨率的影响,以及对重建光谱准确性或者失真度的影响。分析得出谱段间隔越低,光谱分辨率越高;重建的准确性和分辨率随着噪声水平的增大而降低;适当的提高谱段间隔,可以提高重建的准确性。将已知数据立方体和它的仿真结果进行对比,可以看出还原得到的量子点光谱图像质量较好,验证了该技术的可行性。量子点材料为光谱成像技术提供了新的途径,在航空航天等小型化光谱遥感领域具有极大的应用潜力。

关 键 词:量子点  光谱成像  推扫  最小二乘法  光谱重建  
收稿时间:2017-03-01

Reconstruction Simulation with Quantum Dots Spectral Imaging Technology
WANG Ying-jun,ZHOU Jin-song,WEI Li-dong,ZHANG Gui-feng,ZHU Dong-liang,GUO San-wei,TANG Hong-wu,PANG Dai-wen.Reconstruction Simulation with Quantum Dots Spectral Imaging Technology[J].Spectroscopy and Spectral Analysis,2018,38(3):869-876.
Authors:WANG Ying-jun  ZHOU Jin-song  WEI Li-dong  ZHANG Gui-feng  ZHU Dong-liang  GUO San-wei  TANG Hong-wu  PANG Dai-wen
Institution:1. Key Laboratory of Computational Optical Imaging Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), College of Chemistry and Molecular Sciences, The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
Abstract:In order to meet the requirement of compact type and lightweight for spectral imaging system in airborne and satellite platform, and to overcome the limitations of optical splitting system in current spectral imaging technology such as complex structure and high cost, for the first time we present the design of spectral imaging based on quantum dots. In this method, a strip of quantum dots array is placed in front of the focal plane of telescope lens and absorption properties of quantum dots materials is applied to modulate the incident spectrum of the target, then least square method is applied to establish the spectral reconstruction model of the target. Finally, the spectral and spatial information of the target is obtained with the method of push broom and spectral reconstruction. The quantum dots spectral imaging technology has the advantages of high spectral resolution, high energy availability, small size, wide spectral range and low cost. More important, the effects of different spectral intervals and noises on the reconstructed spectral resolution and their impact on the accuracy or distortion of the reconstructed spectra are analyzed. The results show that the spectral resolution increases with the decrease of the spectral interval, and the accuracy and resolution of the reconstructed spectrum are reduced with the increase of the noise level. What's more, the accuracy of reconstruction can be improved by appropriately increasing the spectral interval. With a comparison of the simulation results with the known data cube, the feasibility of the technology is verified, and the results show that the quantum dots spectral imaging possesses higher quality. In conclusion, quantum dots provide a new approach for spectral imaging technology, which has wide applications in the field of aerospace and other miniature spectral remote sensing.
Keywords:Quantum dots  Spectral imaging  Push broom  Least square  Spectral reconstruction  
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