Denoising of aeromagnetic data via the wavelet transform

摘要

Noise has traditionally been suppressed or eliminated in aeromagnetic data sets by the use of Fourier analy- sis filters and, to a lesser degree, nonlinear statistical fil- ters. Although these methods are quite useful under spe- cific conditions, they produce undesirable effects when denoising features of moderate to large amplitude and spatial extent. In this study, a new wavelet analysis pro- cedure is presented that substantially reduces the con- tribution from high-frequency random noise and noise that is user defined.