Detecting of signals of airborne electrical exploration of mineral products in the presence of colored noise

Processing of data obtained by airborne electrical exploration of mineral products is considered. The data contains desired signal together with colored noise. Bleaching the noise out leads to obtaining white noise with Gaussian distribution. Bleaching allows using less complicated detection algorithms and simplifies detection of anomalies. For further processing two-dimensional data were converted in order to use more simple detection algorithms. We developed detection algorithm taking decision based on Neumann-Pearson criterion. The developed bleaching and detection algorithms take into account peculiarities of data.