Gallardo, L.A., Fontes, S.L., Meju, M.A., et al. (2012) Robust Geophysical Integration through Structure-Coupled Joint Inversion and Multispectral Fusion of Seismic Reflection, Magnetotelluric, Magnetic, and Gravity Images: Example from Santos Basin, Offshore Brazil. Geophysics, 77, B237-B251.
http://dx.doi.org/10.1190/geo2011-0394.1

has been cited by the following article:

• TITLE: Simultaneous Structure-Coupled Joint Inversion of Gravity and Magnetic Data Based on a Damped Least-Squares Technique

  AUTHORS: Junjie Zhou, Chunxiao Xiu, Xingdong Zhang

  KEYWORDS: Structure-Coupled Joint Inversion, Damped Least-Squares, Coupling Factor, Gravity and Magnetic Data

  JOURNAL NAME: International Journal of Geosciences, Vol.6 No.2, February 16, 2015

  ABSTRACT: The structure-coupled joint inversion method of gravity and magnetic data is a powerful tool fordeveloping improved physical property models with high resolution and compatible features;however, the conventional procedure is inefficient due to the truncated singular values decomposition(SVD) process at each iteration. To improve the algorithm, a technique using damped leastsquaresis adopted to calculate the structural term of model updates, instead of the truncated SVD. Thisproduces structural coupled density and magnetization images with high efficiency. A so-calledcoupling factor is introduced to regulate the tuning of the desired final structural similarity level.Synthetic examples show that the joint inversion results are internally consistent and achievehigherresolution than separated. The acceptable runtime performance of the damped least squarestechnique used in joint inversion indicates that it is more suitable for practical use than the truncated SVD method.