Amplitude-balanced edge detection filters for potential field data

Automatic gain control (AGC) filters are commonly applied to potential field data to produce images where both large and small amplitude features become prominent. These filters are usually based on ratios of the derivatives (or Hilbert transforms) of the data and are sensitive to noise as a result. By exploiting the fact that the data has an amplitude and phase component it is possible to produce an edge-enhanced dataset with minimal noise issues. The filters are demonstrated on synthetic data and on datasets from South Africa.