Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film | |
Zhang, Jiafeng1; Lin, Guangzhong1; Zeng, Shuguang1; Zheng, Sheng1; Yang, Xiao2; Lin, Ganghua2; Zeng, Xiangyun1; Wang, Haimin3 | |
刊名 | ADVANCES IN ASTRONOMY |
2019-08-28 | |
卷号 | 2019页码:9 |
ISSN号 | 1687-7969 |
DOI | 10.1155/2019/6565379 |
英文摘要 | Prior to the availability of digital cameras, the solar observational images are typically recorded on films, and the information such as date and time were stamped in the same frames on film. It is significant to extract the time stamp information on the film so that the researchers can efficiently use the image data. This paper introduces an intelligent method for extracting time stamp information, namely, the convolutional neural network (CNN), which is an algorithm in deep learning of multilayer neural network structures and can identify time stamp character in the scanned solar images. We carry out the time stamp decoding for the digitized data from the National Solar Observatory from 1963 to 2003. The experimental results show that the method is accurate and quick for this application. We finish the time stamp information extraction for more than 7 million images with the accuracy of 98%. |
资助项目 | National Natural Science Foundation of China[U1731124] ; National Natural Science Foundation of China[U1531247] ; National Natural Science Foundation of China[11427803] ; National Natural Science Foundation of China[11427901] ; National Natural Science Foundation of China[11873062] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-04] ; Beijing Municipal Science and Technology Project[Z181100002918004] ; US NSF[AGS-1620875] |
WOS关键词 | NEURAL-NETWORKS ; DEEP |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
出版者 | HINDAWI LTD |
WOS记录号 | WOS:000486022100001 |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Beijing Municipal Science and Technology Project ; Beijing Municipal Science and Technology Project ; US NSF ; US NSF ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Beijing Municipal Science and Technology Project ; Beijing Municipal Science and Technology Project ; US NSF ; US NSF ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Beijing Municipal Science and Technology Project ; Beijing Municipal Science and Technology Project ; US NSF ; US NSF ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Beijing Municipal Science and Technology Project ; Beijing Municipal Science and Technology Project ; US NSF ; US NSF |
内容类型 | 期刊论文 |
源URL | [http://ir.bao.ac.cn/handle/114a11/27749] |
专题 | 中国科学院国家天文台 |
通讯作者 | Zeng, Shuguang |
作者单位 | 1.China Three Gorges Univ, Coll Sci, Yichang 443002, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100101, Peoples R China 3.New Jersey Inst Technol, Inst Space Weather Sci, 323 Martin Luther King Blvd, Newark, NJ 07102 USA |
推荐引用方式 GB/T 7714 | Zhang, Jiafeng,Lin, Guangzhong,Zeng, Shuguang,et al. Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film[J]. ADVANCES IN ASTRONOMY,2019,2019:9. |
APA | Zhang, Jiafeng.,Lin, Guangzhong.,Zeng, Shuguang.,Zheng, Sheng.,Yang, Xiao.,...&Wang, Haimin.(2019).Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film.ADVANCES IN ASTRONOMY,2019,9. |
MLA | Zhang, Jiafeng,et al."Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film".ADVANCES IN ASTRONOMY 2019(2019):9. |
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