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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dalm, M. | vi |
dc.contributor.other | Buxton, M. W. N. | vi |
dc.contributor.other | Van Ruitenbeek, F. J. A. | vi |
dc.date.accessioned | 2020-03-30T08:50:10Z | - |
dc.date.available | 2020-03-30T08:50:10Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1874-8961 | vi |
dc.identifier.other | D8362 | vi |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/8362 | - |
dc.description.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. | vi |
dc.description.uri | https://link.springer.com/content/pdf/10.1007%2Fs11004-018-9758-6.pdf | vi |
dc.language | en | vi |
dc.relation.ispartofseries | Mathematical geosciences,Vol.51, pp.849–875 | vi |
dc.subject | Sensor-based sorting | vi |
dc.subject | Ore sorting | vi |
dc.subject | Near-infrared | vi |
dc.subject | Short-wavelength infrared | vi |
dc.subject | Hyperspectral imaging | vi |
dc.title | Ore–Waste Discrimination in Epithermal Deposits Using Near-Infrared to Short-Wavelength Infrared (NIR-SWIR) Hyperspectral Imagery | vi |
dc.type | BB | vi |
Appears in Collections: | Tài liệu mở |
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