Genetic algorithm for conductivity imaging of airborne electromagnetic data

Neil Pendock

doi:10.1117/12.160334

15 November 1993 Genetic algorithm for conductivity imaging of airborne electromagnetic data

Neil Pendock

Proceedings Volume 1942, Underground and Obscured Object Imaging and Detection; (1993) https://doi.org/10.1117/12.160334
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

We present a genetic algorithm (GA) for solving an ill-posed inverse problem from exploration geophysics, namely the estimation of a distribution of conductivities from a set of electrical current penetration depths. We formulate the inversion as a Bayesian inference problem and use a GA to efficiently sample the posterior parameter distribution. In particular, the conductivity distribution with maximum entropy relative to the observed data is estimated. The method is illustrated on an airborne electromagnetic data set collected over the Karoo, South Africa.

Citation Download Citation

Neil Pendock "Genetic algorithm for conductivity imaging of airborne electromagnetic data", Proc. SPIE 1942, Underground and Obscured Object Imaging and Detection, (15 November 1993); https://doi.org/10.1117/12.160334

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