Comparação do Desempenho das Técnicas Análise Por Principais Componentes E Fator De Máxima Autocorrelação Para Processamento de Dados Aerogeofísicos: Investigação Teste Num Prospecto da Província Mineral do Tapajós

The MAF (Maximum Autocorrelation Factor) technique, more precisely the kernel version, was applied to an airborne geophysics dataset for the assessment of the geologic information in the area of the Maués Prospect (Brazilian Amazon). This method is characterized as another approach of the well known Principal Component Analysis technique that also was utilized in this case study. Based on the visual and statistical analysis, the results were compared for the determination of the main lithologies in this portion of the Tapajós Mineral Province. This case study shows that the use of the (Kernel) MAF has a great potential for applications in multivariategeologic data.