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Application of Mixture Tuned Matched Filtering on ASTER Data for Hydrothermal Alteration Mapping Related to Porphyry Cu Deposits in Jabal-Barez Ranges, Kerman Copper Belt, Iran | ||
Journal of Sciences, Islamic Republic of Iran | ||
مقاله 6، دوره 29، شماره 3، آذر 2018، صفحه 271-280 اصل مقاله (545.17 K) | ||
نوع مقاله: Final File | ||
شناسه دیجیتال (DOI): 10.22059/jsciences.2018.67440 | ||
نویسندگان | ||
S. J. Yousefi1؛ H. Ranjbar* 2؛ S. Alirezaei3؛ S. Dargahi1 | ||
1Department of Geology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran | ||
2Department of Mining Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Islamic Republic of Iran | ||
3Department of Geology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Islamic Republic of Iran | ||
چکیده | ||
The study area is located in Jabal-Barez Ranges, southeastern part of Kerman Copper Belt (KCB), where the porphyry copper mineralization such as Kerver occurs. This article deals with the enhancement of hydrothermal alteration minerals for exploration of porphyry Cu mineralization, and differentiates intense hydrothermal alteration zones from those with low intensity. Shortwave Infrared (SWIR) bands of ASTER data were used for mineral enhancement. The spectra of representative alteration mineral assemblages consisting of sericite + illite, kaolinite + montmorillonite and epidote + chlorite were extracted from SWIR bands of ASTER. The spectra were applied for mineral discrimination using Mixture Tuned Matched Filtering (MTMF) technique. The image processing results were verified using field observation, spectral measurements, thin section and X-ray diffraction studies of the samples. Findings exhibit ASTER capability to discriminate different alteration zones. Findings also significantly show the role of MTMF algorithm as a useful technique for mineral exploration. | ||
کلیدواژهها | ||
ASTER؛ Hydrothermal alteration؛ Jabal-Barez؛ Porphyry Cu deposit؛ MTMF | ||
مراجع | ||
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