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Aeromagnetic compensation using neural networks

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Abstract

Airborne magnetic surveys in geophysical exploration can be subject to interference effects from the aircraft. Principal sources are the permanent magnetism of various parts of the aircraft, induction effects created by the earth's magnetic field and eddy-current fields produced by the aircraft's manoeuvres. Neural networks can model these effects as functions of roll, pitch, heading and their time derivatives, together with vertical acceleration, charging currents to the generator, etc., without assuming an explicit physical model. Separation of interference effects from background regional and diurnal fields can also be achieved in a satisfactory way.

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Authors and Affiliations

  1. School of Cognitive and Computing Sciences, University of Sussex, BN1 9QH, Falmer, Brighton, UK

    Peter M. Williams

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  1. Peter M. Williams
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Williams, P.M. Aeromagnetic compensation using neural networks. Neural Comput & Applic 1, 207–214 (1993). https://doi.org/10.1007/BF01414949

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  • DOI: https://doi.org/10.1007/BF01414949

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