Volume 36 Issue 2
Feb.  2011
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SHEN Jun, YANG Minhua, ZHONG Ronghua, MA Huiyun. Precipitation Series Filter Based on Online SVM and Unscented Kalman Filter[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 222-225.
Citation: SHEN Jun, YANG Minhua, ZHONG Ronghua, MA Huiyun. Precipitation Series Filter Based on Online SVM and Unscented Kalman Filter[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 222-225.
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Precipitation Series Filter Based on Online SVM and Unscented Kalman Filter

  • 1School of Info-Physics and Geomatics Engineering,Central South University,South Lushan Road,Changsha 410083,China;2 Meteorological Bureau of Yiyang,West Xiufeng Road,Yiyang 413000,China

Funds: 国家自然科学基金资助项目(30570279,40874005);国家自然科学基金青年科学基金资助项目(40901171)；武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目(WKL(070102))
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  • Received Date: December 14, 2010
  • Published Date: February 04, 2011
    Graphical Abstract
    • Abstract
  • In order to filter the series,the traditional algorithms require an explicit system model which is a difficult problem in nonlinear-system.We present an effective method based on the online support vector machine and Unscented Kalman filter method to filter a precipitation series.The experimental results show that our proposed method is more efficient to get accurate result than the traditional Kalman filter method and the support vector machine method.
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