Implementación de imágenes hiperespectrales y de radar como herramienta para la identificación mineralógica para grandes extensiones en estudios de exploración - Zona de estudio : Región del Magdalena Medio

Abstract

This research presents the analysis and identification of exposed mineralogical materials that make up the surface mantles from Hyperspectral images of different sensors and using supervised classification, vector support machines and spectral divergence analysis, and binary algorithmic classification, generating a methodologies that support and allow the development of the mineralogical exploration of large areas, which contributes to the improvement of the characterization and zoning of mineral deposits, allowing the mapping of exposed materials with high spatial precision, even in remote and difficult-to-access places; also determining the presence of indicator minerals for inspection and identification in the exploration of natural resources, determining litho-stratigraphic integrations, mineralogical associations and the identification of the type of rock or its components, according to the relative constancy in the composition of the soil, the Base rock, the maturity of the exposed soils and the geological maps, the results based on geochemical maps of the study area will be verified looking for global precision and a Kappa coefficient higher than 85%.