Abstract:Comparing with the inversion method in the Cartesian coordinate system, the radial inversion method uses half of model parameters, and inversion parameters have the same dimension.The Tikhonov regularization method can easily apply a variety of constraints and prior information.This method obtains stable solutions of independent field inversion for near-circular shaped, pear-shaped, elongated in one or more directions.In this paper, the regularization factor adaptive selection is introduced into the radial inversion, which improves the inversion efficiency and the data fitting.The adaptive regularized radial inversion method has achieved good results in both model and real gravity data processing.
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