
%0 Journal Article
%A Ranjbar, Hojjat 
%A Sarmadi, Maisam 
%A Honarmand, Mehdi 
%A Moezifar, Zohreh 
%T Analysis of airborne geophysical and remote sensing data for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, using fuzzy classification
%J ASEG Extended Abstracts
%D 2003/08/01
%V 2003
%N 2
%P 1-4
%K 
%R https://doi.org/10.1071/ASEG2003AB138
%U https://www.publish.csiro.au/paper/ASEG2003AB138 
%X The area under study is located in the southern part of the Central Iranian Volcanic Sedimentary belt and covers an area of about 600 sq. kms. The Sar Cheshmeh, Darrehzar and areas with known mineralization and alteration are chosen as control areas. Airborne geophysical data - radiometry and megnetometry - has been integrated and analysed using fuzzy classification. This type of classification is suggested for remote sensing data, but it can also be used for classification of airborne geophysical data. In this study Landsat and airborne geophysical data are integrated and analysed by fuzzy classification method. After defining the training areas(Sar Cheshmeh and Darrehzar areas), the entire region is classified into altered and unaltered areas. This analysis is found useful for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, where most parts of this belt is surveyed by airborne geophysics. 
