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题名: A technique to identify some typical radio frequency interference using support vector machine
作者: Wang, Yuanchao; Li, Mingtao; Li, Dawei; Zheng, Jianhua
作者部门: 空间技术部
通讯作者: 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.
会议名称: 9th International Conference on Digital Image Processing (ICDIP)
会议日期: MAY 19-22, 2017
会议地点: Hong Kong, PEOPLES R CHINA
会议录: NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
出版日期: 2017
收录类别: EI ; CPCI
ISSN号: 0277-786X
ISBN号: 978-1-5106-1305-8; 978-1-5106-1304-1
英文摘要: In 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.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.nssc.ac.cn/handle/122/6044
Appears in Collections:空间技术部_会议论文

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