Multi-scale clean deconvolution for solar radio imaging with Mingantu Ultrawide Spectral Radioheliograph (MUSER)

Dong Zhao, Long Xu, Linjie Chen, Jun Cheng, Li Zhang, Yihua Yan
{"title":"Multi-scale clean deconvolution for solar radio imaging with Mingantu Ultrawide Spectral Radioheliograph (MUSER)","authors":"Dong Zhao, Long Xu, Linjie Chen, Jun Cheng, Li Zhang, Yihua Yan","doi":"10.1109/ISPACS.2017.8266451","DOIUrl":null,"url":null,"abstract":"The MUSER is a solar-dedicated radio interferometric array, which will simultaneously make high time, space and frequency resolution images of the Sun. Solar radio imaging is dependent upon deconvolution algorithm to counteract the sparse sampling of the Fourier plane. Recently, the deconvolution method used in MUSER imaging is Hogbom CLEAN algorithm. This algorithm works extremely well for collections of point sources; however, for extended objects, such as the solar disk, it should be improved by adopting the multi-scale approach. In this work we employ and improve the Cornwell Multi-scale CLEAN (2008) as the deconvolution method in MUSER solar radio imaging. Experimental results demonstrate the effectiveness and efficiency of the Multi-scale CLEAN in MUSER solar radio imaging.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2017.8266451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The MUSER is a solar-dedicated radio interferometric array, which will simultaneously make high time, space and frequency resolution images of the Sun. Solar radio imaging is dependent upon deconvolution algorithm to counteract the sparse sampling of the Fourier plane. Recently, the deconvolution method used in MUSER imaging is Hogbom CLEAN algorithm. This algorithm works extremely well for collections of point sources; however, for extended objects, such as the solar disk, it should be improved by adopting the multi-scale approach. In this work we employ and improve the Cornwell Multi-scale CLEAN (2008) as the deconvolution method in MUSER solar radio imaging. Experimental results demonstrate the effectiveness and efficiency of the Multi-scale CLEAN in MUSER solar radio imaging.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
明安图超宽光谱太阳射电成像(MUSER)的多尺度清洁反褶积
MUSER是一个太阳专用的无线电干涉阵列,它将同时获得太阳的高时间、空间和频率分辨率图像。太阳射电成像依赖于反卷积算法来抵消傅里叶平面的稀疏采样。目前,用于MUSER成像的反卷积方法是Hogbom CLEAN算法。该算法对点源的集合非常有效;然而,对于扩展的物体,如太阳圆盘,应该通过采用多尺度方法来改进。在这项工作中,我们采用并改进了Cornwell多尺度CLEAN(2008)作为MUSER太阳射电成像的反卷积方法。实验结果证明了多尺度CLEAN在太阳射电成像中的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An anti-copyscheme for laser label based on digitial watermarking A CNN-based segmentation model for segmenting foreground by a probability map A current-feedback method for programming memristor array in bidirectional associative memory Community mining algorithm of complex network based on memetic algorithm Multi-exposure image fusion quality assessment using contrast information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1