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Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film

文献类型：期刊论文

作者Zhang, Jiafeng1; Lin, Guangzhong1; Zeng, Shuguang1; Zheng, Sheng1; Yang, Xiao2; Lin, Ganghua2; Zeng, Xiangyun1; Wang, Haimin3
刊名ADVANCES IN ASTRONOMY
出版日期2019-08-28
卷号2019页码:9
ISSN号1687-7969
DOI10.1155/2019/6565379
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%.
WOS关键词NEURAL-NETWORKS ; DEEP
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研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:000486022100001
出版者HINDAWI LTD
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
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.

入库方式： OAI收割

来源：国家天文台

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