References
- Brelstaff, G. J., Párraga, A., Troscianko, T., & Carr, D. (1995). Hyperspectral camera system: acquisition and analysis. Proceedings SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing (pp. 150–160). Paris, France: International Society for Optics and Photonics.
- Corescan. (2016). Processing and interpretation. Retrieved September 27, 2018, from http://www.corescan.com.au/services/processing-and-interpretation
- Gowen, A. A., O’Donnell, C. P., Cullen, P. J., Downey, G., & Frias, J. M. (2007). Hyperspectral imaging–an emerging process analytical tool for food quality and safety control. Trends in Food Science & Technology, 18(12), 590–598. doi:10.1016/j.tifs.2007.06.001
- Harraden, C., Berry, R., & Lett, J. (2016). Proposed methodology for utilising automated core logging technology to extract geotechnical index parameters. In The Third AusIMM International Geometallurgy Conference (pp. 126–126). Melbourne VIC: Australian Institute of Mining and Metallurgy.
- Hartigan, J. A., & Wong, M. A. (1979). Algorithm AS 136: A k-means clustering algorithm. Journal of the Royal Statistical Society, Series C (Applied Statistics), 28(1), 100–108. doi:10.2307/2346830
- Hunt, J., Kojovic, T., & Berry, R. (2013). Estimating comminution indices from ore mineralogy, chemistry and drill core logging. In GeoMet 2013: The Second AusIMM International Geometallurgy Conference (pp. 173–176). Melbourne VIC: The Australasian Institute of Mining and Metallurgy (AusIMM).
- Huntington, J., Whitbourn, L., Mason, P., Berman, M., & Schodlok, M. C. (2010). HyLogging—Voluminous industrial-scale reflectance spectroscopy of the Earth’s subsurface. In Art, science and applications of reflectance spectroscopy symposium (pp. 23–25). Boulder, CO: ASD Inc.
- Kruse, F. A. (1996). Identification and mapping of minerals in drill core using hyperspectral image analysis of infrared reflectance spectra. International Journal of Remote Sensing, 17(9), 1623–1632. doi:10.1080/01431169608948728
- Manolakis, D., & Shaw, G. (2002). Detection algorithms for hyperspectral imaging applications. IEEE Signal Processing Magazine, 19(1), 29–43. doi:10.1109/79.974724
- Mason, P., & Huntington, J. F. (2012). HyLogger 3 components and pre-processing: An overview. Darwin NT: Northern Territory Geological Survey, Technical Note, 2.
- Merry, N., Pontual, S., & Gamson, P. (1999). The Spectral Geologist “TSG” v 2.0 user manual: AusSpecInternational Pty. Ltd. Canberra ACT: Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia.
- Moye, D. G. (1967). Diamond drilling for foundation exploration. Canberra ACT: Institute of Engineers Civil Engineering Transactions, Australia.
- Schepers, R., Rafat, G., Gelbke, C., & Lehmann, B. (2001). Application of borehole logging, core imaging and tomography to geotechnical exploration. International Journal of Rock Mechanics and Mining Sciences, 38(6), 867–876. doi:10.1016/S1365-1609(01)00052-1
- Schodlok, M. C., Whitbourn, L., Huntington, J., Mason, P., Green, A., Berman, M., … Jolivet, M. (2016). HyLogger-3, a visible to shortwave and thermal infrared reflectance spectrometer system for drill core logging: Functional description. Australian Journal of Earth Sciences, 63(8), 929–940. doi:10.1080/08120099.2016.1231133
- Tappert, M., Rivard, B., Giles, D., Tappert, R., & Mauger, A. (2011). Automated drill core logging using visible and near-infrared reflectance spectroscopy: A case study from the Olympic Dam IOCG deposit, South Australia. Economic Geology, 106(2), 289–296. doi:10.2113/econgeo.106.2.289
- Umbaugh, S. E. (1997). Computer vision and image processing: A practical approach using CVIPtools with CDrom. Upper Saddle River NJ: Prentice Hall PTR.
- Wagstaff, K., Cardie, C., Rogers, S., & Schrödl, S. (2001). Constrained k-means clustering with background knowledge. In ICML'01 proceedings of the eighteenth Interational Conference on Machine Learning (Vol. 1, pp. 577–584). San Francisco CA: Morgan Kaufmann Publishers Inc.
- Wang, D., Lagerstrom, R., Sun, C., Laukamp, C., Quigley, M., Whitbourn, L., … Fisher, L. (2016). Automated vein detection for drill core analysis by fusion of hyperspectral and visible image data. In 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 23rd International Conference on (pp. 1–6). New York, NY: IEEE.