Regularization of Point-Mass Model for Multi-Source Gravity Data Fusion Processing
Author(s): HUANG Motao, OUYANG Yongzhong, LIU Min, ZHAI Guojun, DENG Kailiang, Navel Institute of Hydrographic Surveying and Charting, School of Geodesy and Geomatics, Wuhan University, Institute of Geospatial Information, Information Engineering University
Pages: 170-175
Year: 2015 Issue: 2
Journal: Geomatics and Information Science of Wunan University
Keyword: multi-source gravity data; fusion processing; point-mass method; Tikhonov regularization;
Abstract: Tikhonov regularization is introduced into the point-mass method to solve the ill-posed problem in fusion processing of multi-source gravity data.A point-mass model is regularized,and a modified regularization point-mass model is proposed.Finally,a sea-borne gravity data set and an airborne gravity data set from EGM2008 model are used as a case study to test the efficiency of regularization point-mass.Results show that the modified method can inhibit the amplifying effect of measurement errors due to the small singular values of ill-posed coefficient matrix,and thus improve the precision and stability of point-mass solutions.
Pages: 170-175
Year: 2015 Issue: 2
Journal: Geomatics and Information Science of Wunan University
Keyword: multi-source gravity data; fusion processing; point-mass method; Tikhonov regularization;
Abstract: Tikhonov regularization is introduced into the point-mass method to solve the ill-posed problem in fusion processing of multi-source gravity data.A point-mass model is regularized,and a modified regularization point-mass model is proposed.Finally,a sea-borne gravity data set and an airborne gravity data set from EGM2008 model are used as a case study to test the efficiency of regularization point-mass.Results show that the modified method can inhibit the amplifying effect of measurement errors due to the small singular values of ill-posed coefficient matrix,and thus improve the precision and stability of point-mass solutions.
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