Automatic lineament extraction from ASTER images using the Hough transform, JabalBarez 1:100000 sheet


1 School of Mining Engineering, College of Engineering, University of Tehran, Iran

2 Mining Department, Isfahan University of Technology, Isfahan, Iran

3 School of Mining, College of Engineering, University of Tehran, Tehran, Iran Department of Geoscience, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada


The Jebal Barez area is situated in the Urmia-Dokhtar magmatic belt, and the porphyry copper mineralization in this region has close relationship with faults and granitoid masses. Determination of the structural lineaments is a good guide to identify the location of copper mineralization in the region. In this paper, an automatic algorithm was used to extract the lineaments from ASTER images. This algorithm can highly reduce user errors and runtime. In this paper, the CANNY algorithm was used as an edge-detector filter while Hough transform was used to extract linear features from satellite imagery. Finally, after investigating and detecting their operation, the faults associated with copper mineralization were recognized in the region. According the rose-diagram, two fault systems were highlighted that the main fault system is located along the NW-SE, and the fault system along the N-S boundary forms a small fraction of the total fractures in the region. the fault density map of the area shows a high potential for porphyry copper mineralization. In order to investigate the success of the ASTER images in extracting faults in the region these faults were compared with the faults of geology map, that 63.05% of them had overlapping with geology faults.


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