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正则化处理在层析成象光谱技术中的应用
引用本文:刘良云,相里斌,李英才,赵葆常.正则化处理在层析成象光谱技术中的应用[J].光子学报,1999,28(4):341-345.
作者姓名:刘良云  相里斌  李英才  赵葆常
作者单位:中国科学院西安光学精密机械研究所空间光学室,西安,710068
摘    要:本文首先介绍了层析成象光谱技术的基本原理和奇异值分解法在层析成象光谱技术中的一般应用。其次,为了改善层析成象系统的病态性,在硬件上,可通过设计光栅各衍射级数的衍射效率从而降低投影矩阵的谱条件数;在软件上,通过引入正则化处理,改善了层析成象系统的稳定性,降低了噪音对重建的光谱图象的影响。最后,我们通过计算机模拟试验进一步证实了理论的合理性和准确性。

关 键 词:计算层析成象光谱仪  中心切片定理  奇异值分解法  正则化处理
收稿时间:1999-01-04
修稿时间:1999-01-04

APPLICATION OF REGULARIZATION IN THE COMPUTED-TOMOGRAPHY IMAGING SPECTROMETER
Liu Liangyun,Xiangli Bin,Li Yingcai,Zhao Baochang.APPLICATION OF REGULARIZATION IN THE COMPUTED-TOMOGRAPHY IMAGING SPECTROMETER[J].Acta Photonica Sinica,1999,28(4):341-345.
Authors:Liu Liangyun  Xiangli Bin  Li Yingcai  Zhao Baochang
Institution:Space Optics Laboratory, Xi’an Institute of Optics and Precision Mechanics, Academia Sinica, Xi’an 710068
Abstract:Firstly,the primary theories of CTIS and thd application of SVD are introduced in chromotomography.Secondly,in order to improve the ill posed system matrix and the stability of the CTIS,we succeed in decreasing the condition number of the system matrix by designing the diffraction efficiency of the different diffraction orders.On the other hand,the regularization in SVD is inducted and then the Signal to Noise is improved.Finally,the simulated experiments show that the theorems and the algorithms are precise and efficient.
Keywords:Computed      Tomography imaging spectrometer (CTIS)  Central slice theorem  Singular  value decomposition    (SVD)  Regularization  
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