Volume 37 Issue 12
Dec.  2012
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LUO Zhicai, ZHOU Boyang, ZHONG Bo, WU Yihao. Outlier Detection of Satellite Gravity Gradiometry Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(12): 1392-1396.
Citation: LUO Zhicai, ZHOU Boyang, ZHONG Bo, WU Yihao. Outlier Detection of Satellite Gravity Gradiometry Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(12): 1392-1396.
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Outlier Detection of Satellite Gravity Gradiometry Data

  • 1 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Key Laboratory of Geospace Enviroment and Geodesy,Ministry of Education,Wuhan University, 129 Luoyu Road,Wuhan 430079,China;3 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(41131067,40874002,41104014);;国家863计划资助项目(2008AA12Z105)
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  • Received Date: October 07, 2012
  • Published Date: December 04, 2012
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    • Abstract
  • Outlier detection is one of the key processes to data preprocessing of satellite gravity gradiometry(SGG),and its objective is to obtain high quality SGG data.The performance of thresholding,Dixon test and wavelet algorithm was discussed in the outlier detection of SGG data.And two combined schemes were presented to overcome some deficiencies of these three methods,namely the combination of Dixon test and wavelet algorithm,and that of Dixon test,thresholding and wavelet algorithm.The simulation results show that both the two combined schemes can improve the quality of outlier detection effectively.
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