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 Publication | NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017) |
2017 | |
Language | 英语 |
ISSN | 0277-786X |
ISBN | 978-1-5106-1305-8; 978-1-5106-1304-1 |
Abstract | 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. |
Conference Name | 9th International Conference on Digital Image Processing (ICDIP) |
Conference Date | MAY 19-22, 2017 |
Conference Place | Hong Kong, PEOPLES R CHINA |
Indexed By | EI ; CPCI |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/6044 |
Collection | 空间技术部 |
Corresponding Author | 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. |
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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2017104200B.pdf(730KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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