Designing matched bandpass and azimuthal filters for the separation of potential-field anomalies by source region and source type

Abstract

Matched bandpass filtering of potential-field data, based on a multi-layer equivalent source model, provides a useful way to separate short-wavelength anomalies that originate at shallow depths from long-wavelength anomalies that generally originate at greater depths. Matched azimuthal filtering is a new concept that can be used in conjunction with the bandpass filtering to suppress directional noise or to enhance directional signal. An implementation of matched bandpass and azimuthal filtering using multiple equivalent-source layers is demonstrated on aeromagnetic data collected over the Albuquerque basin, New Mexico, USA.