Abstract
The Kehdolan area is located at 20 kilometers to the south-east of Dozdozan Town (Eastern Azarbaijan Province). According to structural geology, volconic rocks are situated in Alborz-Azarbyjan zone, and faults are observed in the same direction to this system with SE-NW trend. The results show that kaolinite alteration trend with Argilic and propylitic veins is the same direction with SW-NE faults in this area. Therefore, these faults with these trends can be considered as the mineralization control for determination of the alterations. Different image processing techniques, such as false color composite (FCC), band ratios, color ratio composite (CRC), principal component analysis (PCA), Crosta technique, supervised spectral angle mapping (SAM), are used for identification of the alteration zones associated with copper mineralization. In this project ASTER data are process and spectral analysis to fit for recognizing intensity and kind of argillic, propylitic, philic, and ETM+ data which are process and to fit for iron oxide and relation to metal mineralization of the area. For recognizing different alterations of the study area, some chemical and mineralogical analysis data from the samples showed that ASTER data and ETM+ data were capable of hydrothermal alteration mapping with copper mineralization. Copper mineralization in the region is in agreement with argillic alteration. SW-NE trending faults controlled the mineralization process.
Highlights
ASTER satellite data processing for mineralization mapping was used to detect alteration and detect mineral exploration targets [1] [2]
Different image processing techniques such as false color composite, band ratios, color ratio composite, principal component analysis, Crosta technique, supervised spectral angle mapping, and neural network classification are used for identification of the alteration zones associated with copper mineralization
Investigation shows that ETM+ data due to its blue region spectral band can enhance the iron oxide rich areas much better than ASTER data
Summary
ASTER satellite data processing for mineralization mapping was used to detect alteration and detect mineral exploration targets [1] [2]. As a result of these factors, it is important not to look at ASTER images in isolation from other data. If possible, datasets such as geology and structural maps, geochemistry, PIMA analyses (ground truthing), radiometrics, and Figure 1. Different image processing techniques such as false color composite, band ratios, color ratio composite, principal component analysis, Crosta technique, supervised spectral angle mapping, and neural network classification are used for identification of the alteration zones associated with copper mineralization. The principal component analysis (PCA), Crosta technique, and supervised spectral angle mapping (SAM) method seem to be applicable to all cases for detecting alteration zone and minerals. Concentration-area, Crosta technique, and supervised spectral angle mapping method were used [6] [8]
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