The arcuate shaped Anorthosites of Sittampundi Anorthosite Complex (SAC), is clearly observable from satellite images. Chromites occur as lense shaped outcrops in the anorthosite and related mafic rocks. Mapping chromite through remote sensing image analysis in this region is challenging due to the sparse occurrence of the host rock. In this study, we utilised the Spectral Mixture Analysis (SMA) technique on AVIRIS-NG datasets to generate the spectral abundance of chromite hosted pyroxenite rocks. For this purpose, the indicative spectral features of the abundant rock type, i.e. anorthosite and its difference from the pyroxenite/metagabbro were analysed and characterised in the laboratory. Based on the diagnostic absorptions, the image endmembers were corelated with the field and the laboratory-derived spectral characteristics of the rock endmembers and the most abundant minerals associated with each rock type. Although, the sparse occurrence of anorthosite and pyroxenite outcrops in the study region poses a challenge, a greater challenge arises from the significant vegetation cover, which results in intimate mixtures of rock, soil and vegetation in the image data. Therefore, to derive the fractional abundance of chromite hosted pyroxenite, vegetation is considered as one of the endmembers. Non-linear spectral mixing approach resulted in better mapping of sparse outcrops of chromite hosted rocks. This new approach helps in mapping mineral prospects in vegetation-covered regions without applying masking.