Print Email Facebook Twitter Applicability of near-infrared hyperspectral imagery (NIR-HI) for sensor based sorting of an epithermal Au-Ag ore Title Applicability of near-infrared hyperspectral imagery (NIR-HI) for sensor based sorting of an epithermal Au-Ag ore Author Dalm, M. Buxton, M.W.N. Van Ruitenbeek, F.J.A. Faculty Civil Engineering and Geosciences Department Geoscience and Engineering Date 2015-12-31 Abstract In the presented study test work was performed with near-infrared hyperspectral imagery (NIR-HI) on 36 ore samples from a South-American epithermal Au-Ag mine. The aim of the test work was to investigate if NIR-HI provides information about the alteration mineralogy of samples that can be used to predict their economic value. Mineral distribution maps were produced from the hyperspectral images by using correlation coefficients between the image pixels and a set of reference spectra. These maps showed that detection of mineralogy with NIR-HI can be used to distinguish; i) ore particles with low Au and Ag grades, ii) ore particles with high carbon contents, iii) ore particles with high sulphur contents. Subject sensor based sortingore sortingnear-infraredNIR hyperspectral imageryepithermal Au-Ag To reference this document use: http://resolver.tudelft.nl/uuid:09139f4a-0d07-401f-9790-497321f10488 Publisher The Canadian Institute of Mining, Metallurgy and Petroleum ISBN 978-1-926872-32-2 Source Proceedings of the 54th Annual Conference of Metallurgists COM 2015; Ontario (Canada), 23-26 August, 2015 Part of collection Institutional Repository Document type conference paper Rights (c) 2015 Dalm, M., Buxton, M.W.N., Van Ruitenbeek, F.J.A. Files PDF 328891.pdf 1.52 MB Close viewer /islandora/object/uuid:09139f4a-0d07-401f-9790-497321f10488/datastream/OBJ/view