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Title: Ore–Waste Discrimination in Epithermal Deposits Using Near-Infrared to Short-Wavelength Infrared (NIR-SWIR) Hyperspectral Imagery
Authors: Dalm, M.
Participants: Buxton, M. W. N.
Van Ruitenbeek, F. J. A.
Issue Date: 2019
Series/Report no.: Mathematical geosciences,Vol.51, pp.849–875
Abstract: The results showed that NIR-SWIR hyperspectral imagery could be used to segment a population of waste samples by detecting occurrences of pyrophyllite, dickite and/or illite. This result can be explained by the fact that these minerals are commonly deposited further away from the ore-bearing epithermal veins, while the absence of SWIR-active minerals or detected occurrences of alunite are more closely associated with these structures. The ability to identify waste with NIR-SWIR spectral sensors means there is potential that sensor-based sorting can be used to remove this waste from mineral processing operations. Additional research is still required to assess the economic feasibility of such a sensor-based sorting application.
URI: http://tailieuso.tlu.edu.vn/handle/DHTL/8362
Source: https://link.springer.com/content/pdf/10.1007%2Fs11004-018-9758-6.pdf
ISSN: 1874-8961
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