NSSC OpenIR
A image reconstruction algorithm of transient sources based on combined sparsities of background and variation
Alternative Title20202108701461;基于背景和变化稀疏性的瞬变源图像重建算法
Yang, Yi1,2; Deng, Li1; Duan, Ran1; Yang, Zhen1
Source PublicationBeijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
2020
Volume46Issue:5Pages:915-924
DOI10.13700/j.bh.1001-5965.2019.0222
ISSN10015965
Language中文
KeywordInterferometers - Luminance - Numerical methods - Signal receivers - Temperature Aperture synthesis - Brightness temperature difference - Brightness temperatures - High spatial resolution - Image reconstruction algorithm - Inter-frame differences - Numerical experiments - Radio interferometers
AbstractRadio interferometers can achieve high spatial resolution imaging by combining multiple groups of visibility data measured over long periods of time. However, the variable information of temporally variable source is missing. A image reconstruction algorithm of varied sources by sparse baseline aperture synthesis based on sparse constraint on direct sum of background and inter-frame difference is proposed. The brightness temperature at initial moment and the brightness temperature difference of adjacent moments are taken as the vector of solution to seek, and the brightness temperatures at different moments are the sums of them, which leads to the measuring equation of the brightness temperature at initial moment and the difference. Transient source images at different moments are reconstructed by solving the sparsity of brightness temperature at initial moment and brightness temperature difference of adjacent moments. The results of numerical experiments show that the proposed method matches the best on transient source in a local background and outperforms the existing methods on varying source in a global background. © 2020, Editorial Board of JBUAA. All right reserved.
Indexed ByEI ; CSCD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7487
Collection中国科学院国家空间科学中心
Affiliation1.Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Yang, Yi,Deng, Li,Duan, Ran,et al. A image reconstruction algorithm of transient sources based on combined sparsities of background and variation[J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics,2020,46(5):915-924.
APA Yang, Yi,Deng, Li,Duan, Ran,&Yang, Zhen.(2020).A image reconstruction algorithm of transient sources based on combined sparsities of background and variation.Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics,46(5),915-924.
MLA Yang, Yi,et al."A image reconstruction algorithm of transient sources based on combined sparsities of background and variation".Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics 46.5(2020):915-924.
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