The purpose of this work is to introduce a new inversion method of potential field, based on a 3D model weighting function. For gravity and magnetic inversion, the model weighting function is normally assumed as a power law of the depth, with a constant exponent. Our approach is to consider a 3D varying exponent. Such inhomogeneous approach is built in two steps: a) each block is assigned an exponent β equal to the homogeneity degree of the potential field, estimated at different vertical and horizontal positions in the source-free (harmonic) region; b) the source model is computed by any inverse algorithms using a model weighting function. Here we perform step a) based on the scaling function method (Fedi and Florio, 2006) and step b) usin...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...
This paper presents a new method to invert magnetic anomaly data in a variety of non-complex context...
This paper aims at analyzing the inversion with the mostly used model weighting functions, for both ...
The purpose of this work is to introduce a new inversion method of potential field, based on a 3D mo...
We present an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of ...
We developed two different approaches of inversion of potential fields: - A method for 1D inversion ...
We show an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of the...
Nonparametric inverse methods provide a general framework for solving potential- field problems. The...
In potential field inversion problems we usually solve underdetermined systems and realistic soluti...
In this paper, we illustrate the factors affecting the estimation of source depth in potential field...
In potential field inversion problems we usually solve underdetermined systems and this leads to a v...
One of the principal difficulties with the inversion of the potential field data is the inherent non...
The main objective of this thesis is to reconstruct complex geometric structures from gravity data, ...
Abstract We present a constrained inversion procedure based on a priori information derived exclusiv...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...
This paper presents a new method to invert magnetic anomaly data in a variety of non-complex context...
This paper aims at analyzing the inversion with the mostly used model weighting functions, for both ...
The purpose of this work is to introduce a new inversion method of potential field, based on a 3D mo...
We present an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of ...
We developed two different approaches of inversion of potential fields: - A method for 1D inversion ...
We show an algorithm for the linear inversion of 2D surface magnetic data to obtain 3D models of the...
Nonparametric inverse methods provide a general framework for solving potential- field problems. The...
In potential field inversion problems we usually solve underdetermined systems and realistic soluti...
In this paper, we illustrate the factors affecting the estimation of source depth in potential field...
In potential field inversion problems we usually solve underdetermined systems and this leads to a v...
One of the principal difficulties with the inversion of the potential field data is the inherent non...
The main objective of this thesis is to reconstruct complex geometric structures from gravity data, ...
Abstract We present a constrained inversion procedure based on a priori information derived exclusiv...
We use the very fast simulated annealing algorithm to invert the scaling function along selected rid...
This paper presents a new method to invert magnetic anomaly data in a variety of non-complex context...
This paper aims at analyzing the inversion with the mostly used model weighting functions, for both ...