"Gravity observations have been classically used to improve the geological knowledge of a studied region for purposes related to resources exploration. A classical solution to perform such an operation, usually called gravity interpretation, consists in applying a proper filter to the observed gravitational field followed by a visual matching between the residual observations and the known map of geological units. In the current work, we present an alternative solution, in which the observation filtering is substituted by a proper removal of the gravitational effect of an a-priori model of sediments and mantle, while the visual matching is replaced by a Bayesian algorithm. The result is a fully automatic methodology to improve an a-priori map of geological units on the basis of gravity observations. The algorithm is tested by means of a realistic synthetic example."


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