50 citations · 342 across the 14 of their papers we have counts for
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Large-scale focusing joint inversion of gravity and magnetic data with Gramian constraint
Saeed Vatankhah, Rosemary A. Renaut, Xingguo Huang +2
A fast algorithm for the large-scale joint inversion of gravity and magnetic data is developed. It uses a nonlinear Gramian constraint to impose correlation between density and sus…
A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the fast Fourier transform
Rosemary A. Renaut, Jarom D. Hogue, Saeed Vatankhah
Focusing inversion of potential field data for the recovery of sparse subsurface structures from surface measurement data on a uniform grid is discussed. For the uniform grid the m…
Generalized L-norm joint inversion of gravity and magnetic data using cross-gradient constraint
Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut +2
A generalized unifying approach for -norm joint inversion of gravity and magnetic data using the cross-gradient constraint is presented. The presented framework incorporates…
Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data
Saeed Vatankhah, Shuang Liu, Rosemary A. Renaut +2
The large-scale focusing inversion of gravity and magnetic potential field data using -norm regularization is considered. The use of the randomized singular value decompositio…
IGUG: A MATLAB package for D inversion of gravity data using graph theory
Saeed Vatankhah, Vahid Ebrahimzadeh Ardestani, Susan Soodmand Niri +2
The open source MATLAB package IGUG for 3D inversion of gravity data is presented. It is based on methodology that was introduced by Bijani et al (2015), in which a homogeneous sub…
3-D Projected inversion of gravity data
Saeed Vatankhah, Rosemary A. Renaut, Vahid. E. Ardestani
Sparse inversion of gravity data based on -norm regularization is discussed. An iteratively reweighted least squares algorithm is used to solve the problem. At each iteration…