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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.
作者部门空间技术部
会议录名称NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
2017
语种英语
ISSN号0277-786X
ISBN号978-1-5106-1305-8; 978-1-5106-1304-1
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.
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
收录类别EI ; CPCI
文献类型会议论文
条目标识符http://ir.nssc.ac.cn/handle/122/6044
专题空间技术部
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.
推荐引用方式
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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