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对迭代最小二乘法天文像复原方法的改进

An Improvement of Iterative Least-Square Astronomical Image Reconstruction Method
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摘要 在天文斑点成像技术中 ,Hofmann等提出的迭代最小二乘法———积木法 ,能避免在由被观测目标像的重谱复原相位谱时复杂的相位递推过程 ,因而相位误差的传递和积累也被消除了。但在该方法中 ,存在着新的问题 :需要大量投放积木块的迭代次数和长时间的处理过程。为提高该方法的工作效率 ,用“迭代位移叠加法”对目标斑点图进行预处理 ,经少数几次位移叠加的步骤后 ,很快就提供了目标像的基本结构和分布 ,得到了积木块投放点的位置 ,从而避免了盲目投放 ,大大减少了迭代投放的次数 ,显著地提高了该方法的效率。 In astronomical speckle imaging technique, the method of iterative least square (building block) proposed by Hofmann et al. can avoid the complex phase retrieving process when phase spectrum was recovered from the bispctrum of an observated object image, and so the phase error transmission and accumlation were removed too. But this method needs a great quantity of iterative steps of putting blocks and a long term processing. For to raise the efficiency of the method, the means of “iterative shift and add” was used for pretreating the speckle images of the object. After a few steps of shift and adding, the basic structure and distribution of the object image were provided quickly and the position of points putting blocks was got, and so blind putting was avoided, thus the iterative steps were reduced greatly and the efficiency of the method can be increased obviously.
出处 《光学学报》 EI CAS CSCD 北大核心 2002年第3期276-280,共5页 Acta Optica Sinica
基金 国家自然科学基金 (191830 0 1) 中科院天文口基金资助课题
关键词 重谱 积木法 迭代位移叠加法 天文成像 斑点成像 天文像复原 bispctrum building block iterative shift and add method
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参考文献14

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