In potential field inversion problems we usually solve underdetermined systems and realistic solutions may be obtained by introducing a depth-weighting function in the objective function. The choice of the exponent of such power-law is crucial. It was suggested to determine it from the field-decay due to a single source-block; alternatively it has been defined as the structural index of the investigated source distribution. In both cases, when k-order derivatives of the potential field are considered, the depth-weighting exponent has to be increased by k with respect that of the potential field itself, in order to obtain consistent source model distributions. We show instead that invariant and realistic source-distribution models ar...
We present an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of ...
The study of gravity and magnetism has a long history in Earth sciences and continues to play an imp...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...
In potential field inversion problems we usually solve underdetermined systems and realistic soluti...
In potential field inversion problems we usually solve underdetermined systems and this leads to a v...
The purpose of this work is to introduce a new inversion method of potential field, based on a 3D mo...
In this paper, we illustrate the factors affecting the estimation of source depth in potential field...
Nonparametric inverse methods provide a general framework for solving potential- field problems. The...
One of the principal difficulties with the inversion of the potential field data is the inherent non...
This paper aims at analyzing the inversion with the mostly used model weighting functions, for both ...
We show an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of the...
We study the inversion of potential fields and evaluate the degree of depth resolution achievable f...
We propose an approach for the nonlinear constrained inversion of quantities derived from nonlinear...
Abstract We present a constrained inversion procedure based on a priori information derived exclusiv...
We present an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of ...
The study of gravity and magnetism has a long history in Earth sciences and continues to play an imp...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...
In potential field inversion problems we usually solve underdetermined systems and realistic soluti...
In potential field inversion problems we usually solve underdetermined systems and this leads to a v...
The purpose of this work is to introduce a new inversion method of potential field, based on a 3D mo...
In this paper, we illustrate the factors affecting the estimation of source depth in potential field...
Nonparametric inverse methods provide a general framework for solving potential- field problems. The...
One of the principal difficulties with the inversion of the potential field data is the inherent non...
This paper aims at analyzing the inversion with the mostly used model weighting functions, for both ...
We show an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of the...
We study the inversion of potential fields and evaluate the degree of depth resolution achievable f...
We propose an approach for the nonlinear constrained inversion of quantities derived from nonlinear...
Abstract We present a constrained inversion procedure based on a priori information derived exclusiv...
We present an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of ...
The study of gravity and magnetism has a long history in Earth sciences and continues to play an imp...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...