多帧图像编码孔径光谱成像技术

在双色散结构编码孔径光谱成像系统（DD-CASSI）的基础上,提出了利用多帧采样图方法（Multi Frame-DD-CASSI）,以提高信息采样率,并提出新的数学模型,实现了对三维数据立方体的光谱维压缩编码,充分利用了光谱维数据的相关性,利用32帧采样图恢复数据,达到了0.99的光谱曲线相似度和40 db的图像峰值信噪比....

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Bibliographic Details
Published in红外与毫米波学报 Vol. 36; no. 6; pp. 799 - 804
Main Author 刘世界;张旭东;张月;李春来;王建宇
Format Journal Article
LanguageChinese
Published 中国科学院上海技术物理研究所空间主动光电技术重点实验室,上海200083 2017
中国科学院大学,北京100049%中国科学院上海技术物理研究所空间主动光电技术重点实验室,上海200083
中国科学院大学,北京100049%中国科学院上海技术物理研究所空间主动光电技术重点实验室,上海,200083
上海科技大学信息学院,上海201210
Subjects
光谱成像
压缩感知
编码孔径光谱成像（CASSI）
重构算法
coded aperture snapshot spectral imaging (CASSI)
compressed sensing
编码孔径光谱成像(CASSI)
压缩感知
reconstruct algorithm
光谱成像
spectral image
重构算法
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ISSN1001-9014
DOI10.11972/j.issn.1001-9014.2017.06.027

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Summary:在双色散结构编码孔径光谱成像系统（DD-CASSI）的基础上,提出了利用多帧采样图方法（Multi Frame-DD-CASSI）,以提高信息采样率,并提出新的数学模型,实现了对三维数据立方体的光谱维压缩编码,充分利用了光谱维数据的相关性,利用32帧采样图恢复数据,达到了0.99的光谱曲线相似度和40 db的图像峰值信噪比.
Bibliography:LIU Shi-Jie1,2,3, ZHANG Xu-Dong1,3, ZHANG Yue1,3, LI Chun-Lai1 , WANG Jian-Yu1,3 （ 1. Key Laboratory of Space Active Opto-Electronics Technology, Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Shanghai 200083 ; 2. School of Information Science ＆ Technology, ShanghaiTeeh University, Shanghai 201210; 3. University of Chinese Academy of Sciences, Beijing, 100049）
Based on dual-disperser coded aperture snapshot spectral imaging（ DD-CASSI） system,method using multiple sample image（ Multi Frame-DD-CASSI） was put forward to increase the sampling rate. And a new math model was put forward to realize spectral compression in 3-D data cube. The system makes full use of spectra＇s correlation,and 0. 99 spectral correlation fitting and 40 db image peak signal noise were achieved with 32 frames of sample images.
spectral image, compressed sensing, coded aperture snapshot spectral imaging （ CASSI）,reconstruct algorithm
31-1577/TN
ISSN:1001-9014
DOI:10.11972/j.issn.1001-9014.2017.06.027