Application of Airborne Spectrometry Data to the Exploration of Calcrete-hosted Uranium Deposit in Yilgarn Area Western Australia

The calcrete distribution in Yilgarn area of western Australia was studied by analyzing the regional uranium ore prediction factors,multi-parameter combination and supervised classification was used to process and analyze the airborne spectroscopy data and to predict the calcrete-hosted uranium metallization.According to the geochemical characteristics differences between airborne uranium,thorium and potassium spectrum data,space modeling tool in ERDAS software was used to calculate the ancient uranium enrichment factors and identify the area of uranium enrichment source.Bayesian decision criterion and supervised classification technology of feature space domain were used to extract multi-level aero-radiometric anomaly in the study area,and comprehensive analysis methods was used to select calcrete-hosted uranium mineralization prospects.