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- W2124002014 abstract "namely, gravity gradiometry and magnetic data sets. A joint inversion appears to be a logical choice. The difficulty lies in the lack of a definable relationship between density and magnetic susceptibility or magnetization. Since density and magnetic properties are associated with the specific geologic structures in the same region, structure similarity could be used to link the two separate physical properties. For this purpose, Gallardo and Meju (2003) have developed a cross-gradient inversion technique that enforces the similarity in the gradients of the recovered models. We apply that approach to the joint inversions of satellite data by extending the cross-gradient to the spherical coordinates. In this paper, we construct the discretised cross-gradient function in the spherical coordinates to make a linkage between the large-scale distributions of density and susceptibility. As a constraint, the new cross-gradient function is appended to the total objective function in classic Tikhonov regularized inversion. In addition, we impose bound constraints on the recovered density contrast and magnetic susceptibility. The final nonlinear minimization is solved by Gauss-Newton method." @default.
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- W2124002014 date "2015-12-01" @default.
- W2124002014 modified "2023-09-24" @default.
- W2124002014 title "3D joint inversion of gravity gradiometry and magnetic data in spherical coordinates with the cross-gradient constraint" @default.
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- W2124002014 doi "https://doi.org/10.1071/aseg2015ab272" @default.
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