The Sarcheshmeh porphyry copper deposit, Kerman, Iran: A mineralogical analysis of the igneous rocks and alteration zones including halogen element systematics related to Cu mineralization processes

2010 ◽  
Vol 38 (4) ◽  
pp. 367-381 ◽  
Author(s):  
Mohammad Boomeri ◽  
Kazuo Nakashima ◽  
David Richard Lentz
Keyword(s):  
Porphyry Copper ◽  
Copper Deposit ◽  
Porphyry Copper Deposit ◽  
Igneous Rocks ◽  
Mineralogical Analysis ◽  
Alteration Zones ◽  
Mineralization Processes

Geochemistry, U-Pb geochronology and Sr-Nd isotopes of the Neogene igneous rocks, at the Iju porphyry copper deposit, NW Shahr-e-Babak, Iran

2018 ◽  
Vol 93 ◽  
pp. 290-307 ◽  
Author(s):  
Malihe Golestani ◽  
Mohammad Hassan Karimpour ◽  
Azadeh Malekzadeh Shafaroudi ◽  
Mohammad Reza Hidarian Shahri
Keyword(s):  
Porphyry Copper ◽  
Copper Deposit ◽  
Porphyry Copper Deposit ◽  
Igneous Rocks ◽  
Nd Isotopes

scholarly journals COMPARING INDEPENDENT COMPONENT ANALYSIS WITH PRINCIPLE COMPONENT ANALYSIS IN DETECTING ALTERATIONS OF PORPHYRY COPPER DEPOSIT (CASE STUDY: ARDESTAN AREA, CENTRAL IRAN)

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 161-166
Author(s):  
S. Mahmoudishadi ◽  
A. Malian ◽  
F. Hosseinali
Keyword(s):  
Independent Component Analysis ◽  
Near Infrared ◽  
Porphyry Copper ◽  
Principal Component ◽  
Volcanic Belt ◽  
Copper Deposit ◽  
Component Analysis ◽  
Porphyry Copper Deposit ◽  
Independent Component ◽  
Alteration Zones

The image processing techniques in transform domain are employed as analysis tools for enhancing the detection of mineral deposits. The process of decomposing the image into important components increases the probability of mineral extraction. In this study, the performance of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) has been evaluated for the visible and near-infrared (VNIR) and Shortwave infrared (SWIR) subsystems of ASTER data. Ardestan is located in part of Central Iranian Volcanic Belt that hosts many well-known porphyry copper deposits. This research investigated the propylitic and argillic alteration zones and outer mineralogy zone in part of Ardestan region. The two mentioned approaches were applied to discriminate alteration zones from igneous bedrock using the major absorption of indicator minerals from alteration and mineralogy zones in spectral rang of ASTER bands. Specialized PC components (PC2, PC3 and PC6) were used to identify pyrite and argillic and propylitic zones that distinguish from igneous bedrock in RGB color composite image. Due to the eigenvalues, the components 2, 3 and 6 account for 4.26% ,0.9% and 0.09% of the total variance of the data for Ardestan scene, respectively. For the purpose of discriminating the alteration and mineralogy zones of porphyry copper deposit from bedrocks, those mentioned percentages of data in ICA independent components of IC2, IC3 and IC6 are more accurately separated than noisy bands of PCA. The results of ICA method conform to location of lithological units of Ardestan region, as well.

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