Feature level fusion for enhanced geological mapping of ophiolile complex using ASTER and Landsat TM data

• Main Authors: Pournamdari, Mohsen, Hashim, Mazlan
• Format: Article
• Language: English
• Published: Institute of Physics Publishing 2014
• Subjects: HD Industries. Land use. Labor
• Online Access: http://eprints.utm.my/id/eprint/52871/1/MazlanHashim2014_Featurelevelfusionforenhanced.pdf; http://eprints.utm.my/id/eprint/52871/; http://dx.doi.org/10.1088/1755-1315/18/1/012145

Chromite ore deposit occurrence is related to ophiolite complexes as a part of the oceanic crust and provides a good opportunity for lithological mapping using remote sensing data. The main contribution of this paper is a novel approaches to discriminate different rock units associated with ophiolite complex using the Feature Level Fusion technique on ASTER and Landsat TM satellite data at regional scale. In addition this study has applied spectral transform approaches, consisting of Spectral Angle Mapper (SAM) to distinguish the concentration of high-potential areas of chromite and also for determining the boundary between different rock units. Results indicated both approaches show superior outputs compared to other methods and can produce a geological map for ophiolite complex rock units in the arid and the semi-arid region. The novel technique including feature level fusion and Spectral Angle Mapper (SAM) discriminated ophiolitic rock units and produced detailed geological maps of the study area. As a case study, Sikhoran ophiolite complex located in SE, Iran has been selected for image processing techniques. In conclusion, a suitable approach for lithological mapping of ophiolite complexes is demonstrated, this technique contributes meaningfully towards economic geology in terms of identifying new prospects.