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A technique to identify some typical radio frequency interference using support vector machine
Wang, Yuanchao; Li, Mingtao; Li, Dawei; Zheng, Jianhua; Li, MT (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, 1 Nanertiao, Beijing 100190, Peoples R China.; Li, MT (reprint author), Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 10004, Peoples R China.
Department空间技术部
Source PublicationNINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
2017
Language英语
ISSN0277-786X
ISBN978-1-5106-1305-8; 978-1-5106-1304-1
AbstractIn this paper, we present a technique to automatically identify some typical radio frequency interference from pulsar surveys using support vector machine. The technique has been tested by candidates. In these experiments, to get features of SVM, we use principal component analysis for mosaic plots and its classification accuracy is 96.9%; while we use mathematical morphology operation for smog plots and horizontal stripes plots and its classification accuracy is 86%. The technique is simple, high accurate and useful.
Conference Name9th International Conference on Digital Image Processing (ICDIP)
Conference DateMAY 19-22, 2017
Conference PlaceHong Kong, PEOPLES R CHINA
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6044
Collection空间技术部
Corresponding AuthorLi, MT (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, 1 Nanertiao, Beijing 100190, Peoples R China.; Li, MT (reprint author), Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 10004, Peoples R China.
Recommended Citation
GB/T 7714
Wang, Yuanchao,Li, Mingtao,Li, Dawei,et al. A technique to identify some typical radio frequency interference using support vector machine[C],2017.
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