Regularization of Point-Mass Model for Multi-Source Gravity Data Fusion Processing

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 EUM2008 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 iill-posed coefficient matrix，and thus improve the precision and stability of point-mass solutions.