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Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data
The 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 data.
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
The specific focus of this paper is the development of a high-fidelity simulation environment for generating realistic light curves.
Hyperspectral CNN Classification with Limited Training Samples
For hyperspectral data, one of the main variations encountered outdoors is due to incident illumination, which can change in spectral shape and intensity depending on the scene geometry.
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