Using airborne radiometric
geophysical data, one can easily investigate a wide region in a short time and
with little cost to finally find areas that are rich in radioactive elements.
In this research, the uranium exploration data were first organized, filtered
and classified and then the frequency distribution tables and histograms were
drawn. After drawing the histograms, the statistical parameters for radioactive
elements were calculated. The separation of anomaly populations was done on the
basis of distribution around mean value, that is, the resulting mean, mean + 1SD,
mean + 2SD, and mean + 3SD were assumed to equal to background, threshold
value, the possible anomaly and the probable anomaly, respectively. In the end,
representative maps of anomalies and separation of anomaly populations from the
background were presented based on classical statistical calculations.