GPS ELEVATION FITTING BASED ON EM ALGORITHM FOR LACK OF DATA
Lin Dongfang; Song Yingchun; Du Kun ;and Xiao Qinqin
School of Geosciences and Info-Physics, Central South University, Changsha 410083
Abstract Restricted by the observing conditions, some important data of GPS elevation fitting are often missed or not enough. Using conventional methods will reduce the fitting accuracy of the quasigeoid.By use of the EM algorithm with the addition of “potential data” , conditional expectation of the missing data,it can effectively improve the accuracy of GPS elevation fitting for lack of data.
Key words ：
missing data
EM algorithm
elevation fitting
related plane fitting
quadratic surface fitting
Received: 01 January 1900
Corresponding Authors:
Lin Dongfang
Cite this article:
Lin Dongfang,Song Yingchun,Du Kun et al. GPS ELEVATION FITTING BASED ON EM ALGORITHM FOR LACK OF DATA[J]. , 2012, 32(2): 139-142.
Lin Dongfang,Song Yingchun,Du Kun et al. GPS ELEVATION FITTING BASED ON EM ALGORITHM FOR LACK OF DATA[J]. jgg, 2012, 32(2): 139-142.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I2/139
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