Image processing for synthesis imaging of mingantu spectral radioheliograph (MUSER)
文献类型：期刊论文
| 作者 | Xu, Long1 ; Yan, Yihua1; Ma, Lin2; Zhang, Yun3
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| 刊名 | MULTIMEDIA TOOLS AND APPLICATIONS
 |
| 出版日期 | 2018-08-01 |
| 卷号 | 77期号:16页码:20937-20954 |
| 关键词 | Compressed sensing Solar radio astronomy Image reconstruction Aperture synthesis |
| ISSN号 | 1380-7501 |
| DOI | 10.1007/s11042-017-5545-5 |
| 英文摘要 | MingantU SpEctral Radioheliograph (MUSER) can generate the images of the Sun with high time, frequency and spatial resolutions. It employs the aperture synthesis (AS) principle to image the Sun with plentiful solar radio activities. Different from general imaging system, AS records sparse Fourier components of the spatial image of the Sun by recurring to electromagnetic interference imaging principle. However, due to the limited number of antennas, the recorded Fourier components is extremely sparse, which results in very blurring images. This problem is equivalent to convoluting an image with a Gaussian smoothing filter in spatial domain. Accordingly, one can recover an image from its burred version by inverse operation of convolution, namely deconvolution, which was widely known as CLEAN algorithm. This algorithm however does not perform well on solar images characterized by extended source instead point source. In this paper, a new method based on compressed sensing (CS) is proposed to replace CLEAN for imaging or preceded by CLEAN. It describes itself a standard optimization function constrained by sparseness. Specifically, it adopts structural group dictionary to represent solar images for exploring both local sparsity and non local self-similarity. We also investigate image reconstruction of MUSER in a wider range by employing several state-of-the-art image deburring methods. The performance analysis reveals that the proposed method contributes image quality improvement of MUSER markedly beyond the other methods. |
| WOS关键词 | UNCERTAINTY PRINCIPLES ; SPARSE REPRESENTATION ; DECONVOLUTION ; RESTORATION ; DICTIONARIES ; ALGORITHMS ; ASTRONOMY ; DOMAIN |
| 资助项目 | National Natural Science Foundation of China[61572461] ; National Natural Science Foundation of China[11790300] ; National Natural Science Foundation of China[11790305] ; National Natural Science Foundation of China[11433006] ; CAS ; Guangdong Natural Science Foundation for Distinguished Young Scholar[2016A030306022] ; Shenzhen Science and Technology Development Project[JSGG20160229202345378] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000441233300028 |
| 出版者 | SPRINGER |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS ; CAS ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Shenzhen Science and Technology Development Project ; Shenzhen Science and Technology Development Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS ; CAS ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Shenzhen Science and Technology Development Project ; Shenzhen Science and Technology Development Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS ; CAS ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Shenzhen Science and Technology Development Project ; Shenzhen Science and Technology Development Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS ; CAS ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Guangdong Natural Science Foundation for Distinguished Young Scholar ; Shenzhen Science and Technology Development Project ; Shenzhen Science and Technology Development Project |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/22256]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Xu, Long |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Solar Act, Natl Astron Observ, Beijing, Peoples R China 2.Tencent AI Lab, Shenzhen, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Long,Yan, Yihua,Ma, Lin,et al. Image processing for synthesis imaging of mingantu spectral radioheliograph (MUSER)[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(16):20937-20954. |
| APA | Xu, Long,Yan, Yihua,Ma, Lin,&Zhang, Yun.(2018).Image processing for synthesis imaging of mingantu spectral radioheliograph (MUSER).MULTIMEDIA TOOLS AND APPLICATIONS,77(16),20937-20954. |
| MLA | Xu, Long,et al."Image processing for synthesis imaging of mingantu spectral radioheliograph (MUSER)".MULTIMEDIA TOOLS AND APPLICATIONS 77.16(2018):20937-20954. |
入库方式： OAI收割
来源：国家天文台
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