基于两步迭代收缩阈值的编码孔径光谱数据复原算法  

Coded Aperture Spectral Data Restoration Based on Two-Step Iterative Shrinkage/Threshold

作　　者：李芸[1,2] 胡炳樑[1] 王爽[1] 李然[1] 石大莲[1,2] 

机构地区：[1]中国科学院西安光学精密机械研究所光谱成像技术实验室,陕西西安710068 [2]中国科学院研究生院,北京100049

出　　处：《光谱学与光谱分析》2014年第3期847-850,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(41005019)资助

摘　　要：编码孔径光谱成像仪根据压缩传感理论,对物体进行光谱成像。编码孔径光谱数据复原的特点在于能将探测器上所得到的二维编码像复原成三维的数据立方体。两步迭代收缩阈值算法是在迭代收缩阈值算法和迭代加权收缩算法基础上加以改进而得出的,采用两步迭代收缩阈值算法对编码孔径光谱数据进行复原,成功地由二维编码像复原出了三维数据立方体,具有迭代步数少,收敛速度快的特点。Coded aperture imaging spectrometer based on the concept of compressed sensing can acquire the spectral diagram of object .Coded aperture spectral data restoration reconstructs three-dimensional data cube from two-dimensional coded image . The two-step iterative shrinkage/thresholding algorithms were derived from the iterative shrinkage threshold algorithm and weighted iterative shrinkage algorithm .Recovering coded aperture spectral data using the two-step iterative shrinkage/threshol-ding algorithms obtained the three-dimensional spectral data cube successfully .

关 键 词：两步迭代收缩阈值 压缩传感 编码孔径 光谱数据复原 

分 类 号：TH744[机械工程—光学工程]