COMPARISON OF OUTLIER DETECTION METHODS IN GRAVITY GRADIOMETRY
Wu Yunlong 1) ; Luo Zhicai 2, 3) ; Li Hui 1) ; and Zou Zhengbo 1)
1)Institute of Seismology, CEA, Wuhan 4300712)School of Geodesy and Geomatics, Wuhan University, Wuhan 4300793)The Key Laboratory of Geospace Environment and Geodesy, Ministry of Education,Wuhan University, Wuhan 430079
Abstract：The outlier detection methods in satellite gravity gradiometry including threshold method, Grubbs’s test, Dixon test, wavelet method and combined method are studied.On the basis of the the origin and properties of satellite gravity gradiometry outliers, the gravity gradiometry dataset with outlier are simulated. The results indicate the combination of Dixon test and wavelet method is the most efficient algorithm.
