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改进最大熵算法重建日像仪太阳图像

  • 王书振 ,
  • 张昕 ,
  • 徐国华
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  • 1. 西安电子科技大学, 西安 710071;
    2. 中国科学院国家天文台, 北京 100012

收稿日期: 2004-06-30

  修回日期: 2005-01-19

  网络出版日期: 2005-11-15

基金资助

中国科学院、科学技术部973项目(G2000078403);自然科学基金项目(10225313)共同资助

Interferometric Solar Image Reconstruction Using Improved Maximum Entropy Method

  • WANG Shu-Zhen ,
  • ZHANG Xin ,
  • XU Guo-Hua
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  • 1. Xidian University, Xi'an 710071, China;
    2. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China

Received date: 2004-06-30

  Revised date: 2005-01-19

  Online published: 2005-11-15

摘要

通过对SB算法在搜索方向上的改进,使原算法由于近似而产生较大误差时可以自动得到校正,达到了快速与准确的和谐统一;利用两种算法对中国科学院国家天文台拟建的日像仪进行了仿真.结果显示,改进算法的重建图像分辨率得到明显提高而时间效率与原有算法相当,大量仿真则证明了算法收敛的稳定性。

本文引用格式

王书振 , 张昕 , 徐国华 . 改进最大熵算法重建日像仪太阳图像[J]. 中国科学院大学学报, 2005 , 22(6) : 685 -689 . DOI: 10.7523/j.issn.2095-6134.2005.6.004

Abstract

The interferometric solar image reconstruction is the last and the most important method to get the highresolution image.The Skilling-Bryan maximum entropy method featured in convergence rate is one of the predominant methods in astronomy image proceeding.The proposed method innovated in search directions of SB combines the speed with exactness harmoniously as a result of the error adjustment.Finally the simulations were conducted with both methods of interferometric solar image reconstruction in national astronomical observatories.Results showed the superiority of the improved method in resolution and counterbalance in computing time.Its stability was also testified with various examples.

参考文献

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