%0 Journal Article
%T 射电天文图像重建算法研究综述<br>A Review of Radio Astronomical Image Reconstruction Algorithms
%A 张利
%A 肖一凡
%A 米立功
%A 唐远志
%A 赵庆超
%A 卢梅
%A 李桂城
%A 卫星奇
%A 王蓓
%A 刘祥
%A 张明
%A 谢泉
%J Journal of Image and Signal Processing
%P 9-18
%@ 2325-6745
%D 2021
%I Hans Publishing
%R 10.12677/JISP.2021.101002
%X <div style=\"text-align:justify;\">
	由于射电望远镜采样不完备，导致观测到的天文图像质量下降，影响天文与天体物理研究。为了得到质量更好的天体图像，图像重建算法成为射电天文领域具有研究价值的方向。本文综述了射电天文成像重建领域应用广泛的算法。对H？gbom CLEAN算法、Cornwell提出的多尺度CLEAN算法和最大熵算法进行具体的分析研究，并分别将其应用于射电成像的重建；通过对比这些算法在成像中的实现结果，提出领域内亟待解决的问题与挑战。<br />
Due to the incomplete sampling of radio telescope, the quality of the observed astronomical image is reduced, which seriously affects the scientific research work. In order to obtain better celestial images, image reconstruction algorithms have become a valuable research field in radio astronomy. In this paper, we research the radio field of astronomical imaging reconstruction algorithms used widely, and then take H？gbom CLEAN algorithm, the multi-scale CLEAN algorithm and the maximum entropy algorithm detailed analysis and the imaging reconstruction was applied to the radio, finally compare the algorithm implemented in the imaging results and put forward challenges and problems to be solved within the territory.
</div>
%K 射电天文，图像重建，CLEAN算法，最大熵算法<br>Radio Astronomy
%K Image Reconstruction
%K The Clean Algorithm
%K Maximum Entropy Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=39658