Shuang Liu

collaborators

3 papers

physics.geo-ph2020

A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2 D$ 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…

physics.geo-ph2020

Generalized L $_{p}$ -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 $L_{p}$ -norm joint inversion of gravity and magnetic data using the cross-gradient constraint is presented. The presented framework incorporates…

physics.geo-ph2019

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 $L_{1}$ -norm regularization is considered. The use of the randomized singular value decompositio…

A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the 2D fast Fourier transform

Generalized Lp​-norm joint inversion of gravity and magnetic data using cross-gradient constraint

Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data

A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2 D$ fast Fourier transform

Generalized L $_{p}$ -norm joint inversion of gravity and magnetic data using cross-gradient constraint