Multispectral imaging sensors are utilized to discover and identify various surface materials, topographical and geological features. Also it is a used to differentiate lithological units and to provide mineral maps. Although successful processing methodologies have been developed for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery for mineral exploration and geological mapping. Questions still arise regarding the optimal atmospheric correction for these applications. This article provides an outline and an evaluation of existing atmospheric compensation algorithms applied on the visible and shortwave infrared spectral region. This may assist in developing a uranium exploration program using ASTER imagery by delineation of the altered minerals associated with the uranium mineralization