This paper demonstrates a methodology for the automatic joint interpretation of high resolution airborne geophysical and space-borne remote sensing data to support geological mapping in a largely automated, fast and objective manner. At the request of the Geological Survey of Namibia (GSN), part of the Gordonia Subprovince of the Namaqua Metamorphic Complex situated in southern Namibia was selected for this study.
Reference:
Eberle, D, Hutchins, D, Das, S, Majumdar, A and Paasche, H. 2015. Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia. Journal of African Earth Sciences, vol. 106, pp 60-74
Eberle, D., Hutchins, D., Das, S., Majumdar, A., & Paasche, H. (2015). Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia. http://hdl.handle.net/10204/8010
Eberle, D, D Hutchins, Sonali Das, A Majumdar, and H Paasche "Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia." (2015) http://hdl.handle.net/10204/8010
Eberle D, Hutchins D, Das S, Majumdar A, Paasche H. Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia. 2015; http://hdl.handle.net/10204/8010.
Copyright: 2015 Elsevier. This is a pre-print version. The definitive version of the work is published in the Journal of African Earth Sciences, vol. 106, pp 60-74
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