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Discipline progress of mineral mapping of gold deposit in China

Global Geology 2013年第4期16卷 192-200页

作者： JIANG Yonghong Department of Information Development and Research Center of China Geological Survey State Key Laboratory of Geological Processes and mineral Resources China University of Geosciences

Sanjiang and Jiaodong areas are the important gold regions in *** gold mineralization is correlated with the Mesozoic faults and its derivative faults in the granite or the contact zone between granite and base *** mineral mapping is one of the important approaches of prospecting *** temporal and spatial band distribution of mineral,mineral combination and mineral typomorphism features are natural regularity rules,but this kind of band feature is sometimes hidden and thus in need of mineral typomorphism research and mapping to disclose this band feature and to serve for the prospecting of *** changes of the mineral typomorphism feature are often embodied in the"through"mineral,the typomorphism features of the through mineral change like the gradient toward the ore body,and the changes of the features are most obvious and strongest toward the *** new American mineralogy mapping indicates the weak change of the mineral composition or structure will lead to the change of the shape and wave length position of the specific absorbent *** experiment lab investigation has held the reason of a series of *** progress achievement of the remote sensing and computer analysis technology now permits a direct comparison directly between the lab and remote sensing data,so the good feature database of the experiment light spectroscopy can serve for drawing of the spacial distribution and remote sensing *** mapping raised the extensive emphasis in the international earth arena.

关键词： prospecting mineralogy mineral mapping international earth arena emphasis

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Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data

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Geoscience Frontiers 2023年第4期14卷 89-99页

作者： Lloyd Windrim Arman Melkumyan Richard J.Murphy Anna Chlingaryan Raymond Leung Rio Tinto Centre for Mine Automation Australian Centre for Field RoboticsThe University of SydneySydney 2006Australia

The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in *** tasks have become possible using ground-based,close-range hyperspectral sensors which can remotely measure the reflectance properties of the environ-ment with high spatial and spectral ***,autonomous mapping of mineral spectra mea-sured on an open-cut mine face remains a challenging problem due to the subtleness of differences in spectral absorption features between mineral and rock classes as well as variability in the illumination of the *** additional layer of difficulty arises when there is no annotated data available to train a supervised learning algorithm.A pipeline for unsupervised mapping of spectra on a mine face is pro-posed which draws from several recent advances in the hyperspectral machine learning *** proposed pipeline brings together unsupervised and self-supervised algorithms in a unified system to map minerals on a mine face without the need for human-annotated training *** pipeline is eval-uated with a hyperspectral image dataset of an open-cut mine face comprising mineral ore martite and non-mineralised *** combined system is shown to produce a superior map to its constituent algo-rithms,and the consistency of its mapping capability is demonstrated using data acquired at two differ-ent times of day.

关键词： Hyperspectral imaging mineral mapping Open-cut mine face Machine learning Convolutional neural networks Illumination invariance

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