APPLICATION OF POINT MASS MODEL AND LEAST SQUARECOLLOCATION IN MULTI-SOURCE GRAVITY DATA FUSION
Gao Xinbing1,2) ;Li Shanshan1) ;Li Hai2) ;Zhang Hongwei2) ; and Wang Yingjian2)
1)Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052;2)61365 Troops of PLA,Tianjin 300140
Abstract For the multisource gravity data, the fusion methods such as Least Square Collocation (LSC) and point mass assumption are studied and then tested within a certain region in Australia with both airborne and ground gravity measurement data. The results show that the accuracy of multiresolution LSC proposed is ±36×10-5m/s2, while that of the least square total collocation is ±8.4×10-5m/s2.The accuracy of four layers point mass model including airborne dada is ±4.6×10-5m/s2, while that of the three layers point mass model with ground data only is ±5.6×10-5m/s2. And the illposed problem in LSC vanishes in the point mass model.
Key words ：
point mass model
Least Square Collocation (LSC)
multiresolution LSC
multisource gravity data fusion
illcondition
Received: 01 January 1900
Corresponding Authors:
Gao Xinbing
Cite this article:
Gao Xinbing,,Li Shanshan et al. APPLICATION OF POINT MASS MODEL AND LEAST SQUARECOLLOCATION IN MULTI-SOURCE GRAVITY DATA FUSION[J]. , 2013, 33(1): 145-149.
Gao Xinbing,,Li Shanshan et al. APPLICATION OF POINT MASS MODEL AND LEAST SQUARECOLLOCATION IN MULTI-SOURCE GRAVITY DATA FUSION[J]. jgg, 2013, 33(1): 145-149.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I1/145
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