Abstract
In this study, fuzzy logic modeling was implemented to fuse the thematic layers derived from principal components analysis (PCA) in order to generate mineral prospectivity maps. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and WorldView-3 (WV-3) satellite remote sensing data were used. A spatial subset zone of the Central Iranian Terrane (CIT), Iran was selected in this study. The PCA technique was implemented for the processing of the datasets and for the production of alteration thematic layers. PCA4, PCA5, and PCA8 were selected as the most rational alteration thematic layers of ASTER for the generation of a prospectivity map. The fuzzy gamma operator was used to fuse the selected alteration thematic layers. The PCA3, PCA4, and PCA6 thematic layers (most rational alteration thematic layers) of WV-3 were fused using the fuzzy AND operator. Field reconnaissance, X-ray diffraction (XRD) analysis, and Analytical Spectral Devices (ASD) spectroscopy were carried out to verify the image processing results. Subsequently, mineral prospectivity maps were produced showing high-potential zones of Pb-Zn mineralization in the study area.
Highlights
Remote sensing satellite imagery has been applied to detect alteration minerals, dolomite and gossan zone [1,2,3,4,5,6,7]
Fuzzy logic modeling has been successfully used for mineral prospectivity mapping in metallogenic provinces
Fuzzy logic modeling for mineral prospectivity mapping typically incorporates three main stages, including the fuzzification of evidential data, the logical combination of fuzzy evidential maps with the support of an inference network and proper fuzzy set operations, and the defuzzification of fuzzy mineral prospectivity output in order to aid its interpretation [8]
Summary
Remote sensing satellite imagery has been applied to detect alteration minerals, dolomite and gossan zone [1,2,3,4,5,6,7]. A variety of image processing techniques have been used to map hydrothermal alteration minerals. Previous researchers had not attempted to fuse the most rational thematic layers to generate a comprehensive mineral prospectivity map for sediment-hosted Pb-Zn exploration. Fuzzy logic modeling has been successfully used for mineral prospectivity mapping in metallogenic provinces. There has been no comprehensive study conducted to map hydrothermal alteration mineral zones in this area. ASTER and WorldView-3 (WV-3) satellite remote sensing data were used for ativecommons.org/licenses/by/4.0/)
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