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Hyperspectral imaging for real-time ore grading

机译:实时矿石分级的高光谱成像

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摘要

Near-field hyperspectral imaging has the potential to provide quantitative material grading in a variety of mining environments, including at working faces, above conveyor belts, and from boreholes. Background on hyperspectral imaging is provided with examples to motivate the approach. A sensor system for scanning boreholes is under development, and the system requirements are described. Trial runs have shown that this system will be able to collect and analyze hyperspectral data in real-time. Results from data taken on platinum/palladium ore are presented to demonstrate the potential of the technology and also to exhibit current limitations and problems.
机译:近场高光谱成像具有潜力,可以在各种采矿环境中提供定量材料分级,包括在工作面,输送带上方和钻孔上。在高光谱成像上的背景提供了激励方法的例子。用于扫描钻孔的传感器系统正在开发中,描述了系统要求。试运行表明,该系统将能够实时收集和分析高光谱数据。提出了对铂/钯矿石的数据的结果,以展示技术的潜力,也表现出目前的限制和问题。

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