Scientific Quarterly Journal of Geosciences

Scientific Quarterly Journal of Geosciences

Application of Different Image Processing Techniques on ETM Images for Exploration of Porphyry and Vein Type Copper Mineralizations in Kuh-e-Mamzar and Kuh-e-panj Areas, Kerman Province

Document Type : Original Research Paper

Authors
Mahdi Honarmand 1
Hojaollah Ranjbar 2
1 Graduate student, Department of Geology, Shahid Bahonar University of Kerman, Kerman
2 Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman
Abstract
The study area is situated in the southern part of the Central Iranian Volcano-Sedimentary belt. The Eocene volcano-sedimentary rocks are the main geological features in the area . These rocks are intruded by the Oligo-Miocene intrusive bodies where they caused an intensive alteration and  formation of copper mineralization. Different image processing techniques such as band ratios, Crosta technique, supervised fuzzy classification, and lineament factor analysis are used for identification of the alteration zones associated with copper mineralization. The supervised fuzzy classification of  the images obtained  through Crosta technique was found to be the best image processing technique for delineation of the hydrothermally altered rocks associated with porphyry copper deposits. Analysis of  the lineaments interpreted out of ETM (band 8) data is recognized as another method for locating porphyry and vein type copper mineralizations. There is a close correlation between photolineament factor values and the known copper mineralization in the area. After analyzing and interpreting the processed images, a few selected sites were sampled. The thin sections and XRD data from the samples showed that ETM data was capable of  mapping hydrothermal alteration.   
Keywords
ETM+ images
Image processing
Fuzzy classification
porphyry deposits
Kreman

Subjects

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Scientific Quarterly Journal of Geosciences
Volume 15, Issue 57
Autumn 2006, Vol. 15, No. 57
Autumn 2006
Pages 110-127