Remote Sensing possess of new technological trend that empowered with advanced hyperspectral sensors which combine imaging and spectroscopy in a single system. Interpretation of remotely sensed imagery involve basics of spectroscopy for identifying and mapping minerals, as different minerals have unique reflectance and absorption pattern across different wavelengths, which act as their identifying signatures. In this paper Hyperion data have been used for mapping of minerals in Aravalli fold belt of the South-Eastern Rajasthan. Rock samples collected from the study area were used to generate spectra using Spectroradiometer in the laboratory conditions. The spectra generated were validated with USGS spectral library. The imageries have undergone standard image processing techniques, such as atmospheric correction through Fast line of sight atmospheric absorption for hypercubes (FLAASH) model, Minimum Noise Fraction (MNF), Pixel Purity Index (PPI), and N-d visualization for endmember selection. Further, Spectral Angle Mapper technique (SAM) was used for mapping minerals that belong to carbonate, clay and silicate groups.