A technique to identify some typical radio frequency interference using support vector machine
文献类型：会议论文
| 作者 | 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. |
| 出版日期 | 2017 |
| 会议日期 | MAY 19-22, 2017 |
| 会议地点 | Hong Kong, PEOPLES R CHINA |
| 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. |
| 会议录 | NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017)
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| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 978-1-5106-1305-8; 978-1-5106-1304-1 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/6044]  |
| 专题 | 国家空间科学中心_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]. 见:. Hong Kong, PEOPLES R CHINA. MAY 19-22, 2017. |
入库方式： OAI收割
来源：国家空间科学中心
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