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Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia

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dc.contributor.author Eberle, D
dc.contributor.author Hutchins, D
dc.contributor.author Das, Sonali
dc.contributor.author Majumdar, A
dc.contributor.author Paasche, H
dc.date.accessioned 2015-08-17T13:08:56Z
dc.date.available 2015-08-17T13:08:56Z
dc.date.issued 2015-06
dc.identifier.citation 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 en_US
dc.identifier.issn 1464-343X
dc.identifier.uri http://ac.els-cdn.com/S1464343X15000515/1-s2.0-S1464343X15000515-main.pdf?_tid=fe13e02c-3a8d-11e5-9a39-00000aacb360&acdnat=1438681903_9f8574fee2d8e397c675253e45214a8a
dc.identifier.uri http://hdl.handle.net/10204/8010
dc.description 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 en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Workflow;15007
dc.subject Cluster analysis en_US
dc.subject Discriminant analysis en_US
dc.subject Lineament detection en_US
dc.subject Mapping en_US
dc.subject Southern Namibia en_US
dc.subject Namaqua Metamorphic Belt en_US
dc.title Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia en_US
dc.type Article en_US
dc.identifier.apacitation 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 en_ZA
dc.identifier.chicagocitation 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 en_ZA
dc.identifier.vancouvercitation 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. en_ZA
dc.identifier.ris TY - Article AU - Eberle, D AU - Hutchins, D AU - Das, Sonali AU - Majumdar, A AU - Paasche, H AB - 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. DA - 2015-06 DB - ResearchSpace DP - CSIR KW - Cluster analysis KW - Discriminant analysis KW - Lineament detection KW - Mapping KW - Southern Namibia KW - Namaqua Metamorphic Belt LK - https://researchspace.csir.co.za PY - 2015 SM - 1464-343X T1 - Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia TI - Automated pattern recognition to support geological mapping and exploration target generation: a case study from southern Namibia UR - http://hdl.handle.net/10204/8010 ER - en_ZA


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