射电天文图像重建算法研究综述  

A Review of Radio Astronomical Image Reconstruction Algorithms

作　　者：张利 肖一凡 米立功 唐远志 赵庆超 卢梅 李桂城 卫星奇 王蓓 刘祥 张明 谢泉 

机构地区：[1]贵州大学大数据与信息工程学院,贵州 贵阳 [2]中国科学院新疆天文台,新疆 乌鲁木齐

出　　处：《图像与信号处理》2021年第1期9-18,共10页Journal of Image and Signal Processing

摘　　要：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Högbom 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。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 Högbom 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.

关 键 词：射电天文 图像重建 CLEAN算法 最大熵算法 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]