Compression classification methods (MLC, SAM and SID) to provide the best geologic map and using A Spectral Analysis and MTMF Method for enhancing of alteration zones

Due to improvements in remote sensing techniques and available analyzes it is now possible to prepare maps of lithology and alteration of an area. In this study, Aster image as well as several image classification (Maximum likelihood(MLC), Spectral Angle Mapper(SAM) and Spectral Information Divergence(SID)) were used to provide lithology maps and spectrum of minerals has been applied for the enhancing of alterations. To evaluate the accuracy of the prepared geologic maps were used. The classification results showed that the MLC method has the highest accuracy and the classified image using this method is acceptable. Also, spectrum of minerals which obtained by FieldSpec3 Analytical Spectral Device (ASD) were utilized to prepare the alteration map using Mixture Tuned Matched Filtering (MTMF) method. The presence of sericite and chlorite minerals were confirmed by examination of thin sections. The obtained lithological and alteration maps represent that the phyllic zone associated with granite and granodiorite rocks, while argillic and propylitic zones are mostly accompanied with andesitic rocks of study area.