Paper
13 February 2004 Analysis of ETM+ and airborne geophysical data for exploration of porphyry-type deposits in the central Iranian volcanic belt, using fuzzy classification
Hojjatollah Ranjbar, Mehdi Honarmand, Zohreh Moezifar
Author Affiliations +
Abstract
The area under study is located in the southern part of the Central Iranian Volcanic Sedimentary belt and covers an area of about 488 sq. kms. Sar Cheshmeh and Darrehzar areas with known mineralization and alteration are chosen as control areas. Airborne geophysical data -- radiometry and megnetometry -- and ETM+ data has been integrated and analyzed using fuzzy classification. This type of classification is suggested for remote sensing data, but it can also be used for classification of combined airborne geophysical and satellite data. After defining the training areas (Sar Cheshmeh and Darrehzar areas), the entire region is classified into altered and unaltered aras. 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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hojjatollah Ranjbar, Mehdi Honarmand, and Zohreh Moezifar "Analysis of ETM+ and airborne geophysical data for exploration of porphyry-type deposits in the central Iranian volcanic belt, using fuzzy classification", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.510716
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Cited by 3 scholarly publications.
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KEYWORDS
Fuzzy logic

Minerals

Satellites

Iron

Oxides

Copper

Remote sensing

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