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.
The interferometfie solar image reconstruction is the last and the most important method to get the high-resolution 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.
出处
《中国科学院研究生院学报》
CAS
CSCD
2005年第6期685-689,共5页
Journal of the Graduate School of the Chinese Academy of Sciences
基金
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
关键词
日像仪
最大熵算法
反卷积
图像重建
interferometer, maximum entropy method, deconvolution, image reconstruction
