Denoising of aeromagnetic data via the wavelet transform

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1190/1.1487121
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Name affiliation
  1. National Research Council of Canada. Aerospace
FormatText, Article
Journal titleGEOPHYSICS
ISSN0016-8033
Volume66
Issue6
Pages1793–1804
SubjectAcoustic noise; Wavelet transforms; Aeromagnetic data; Geophysics; aeromagnetic survey; Fourier transform; noise; wavelet analysis
Abstract
Noise has traditionally been suppressed or eliminated in aeromagnetic data sets by the use of Fourier analysis filters and, to a lesser degree, nonlinear statistical filters. Although these methods are quite useful under specific conditions, they produce undesirable effects when denoising features of moderate to large amplitude and spatial extent. In this study, a new wavelet analysis procedure is presented that substantially reduces the contribution from high-frequency random noise and noise that is user defined. Applications to both synthetic data and aeromagnetic data from southern Alberta, Canada, show that the wavelet method eliminates the noise portion of the signal more efficiently and retains a greater amount of geologic data than other methods.
Publication date
PublisherSociety of Exploration Geophysicists
LanguageEnglish
Peer reviewedYes
NPARC number21277498
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Record modified2020-03-27
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