Denoising of aeromagnetic data via the wavelet transform

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DOIResolve DOI: http://doi.org/10.1190/1.1487121
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TypeArticle
Journal titleGEOPHYSICS
ISSN0016-8033
Volume66
Issue6
Pages17931804; # of pages: 12
SubjectAcoustic noise; Wavelet transforms; Aeromagnetic data; Geophysics; aeromagnetic survey; Fourier transform; noise; wavelet analysis
AbstractNoise 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
AffiliationNational Research Council Canada (NRC-CNRC); Aerospace
Peer reviewedYes
NPARC number21277498
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Record identifier51e2ca45-1b7b-49f4-b27b-341278dbff3d
Record created2016-03-09
Record modified2016-05-09
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