Locating Potential Field Sources Using Wavelet Analysis
Gordon R. J. Cooper · 2018
Summary Cooper (2006) introduced a particularly simple wavelet based semiautomatic interpretation method. When applied to magnetic data the wavelets were based on horizontal derivatives of the first order analytic signal amplitude of the response from different sources, such as dykes and contacts. The wavelets were not applied to the data itself, but to the horizontal derivatives of its first order analytic signal amplitude. While the method worked well, the use of second order derivatives made it sensitive to noise. This abstract introduces several improvements to the original methodology, with the aim of increasing its robustness to noise, namely Use wavelets based on derivatives of the zero order analytic signal amplitude Use wavelets based on the Hilbert transform of the analytic signal amplitude of different orders Application of a sharpening technique to improve the response of the transform