Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …

Spectral imaging modalities, including reflectance and X-ray fluorescence, play an important
role in conservation science. In reflectance hyperspectral imaging, the data are classified …

Several environmental and sensor effects make the determination of the wavelength
position of absorption features in the visible near infrared (VNIR)(400-1200 nm) from …

In this study, we compare three commonly used methods for hyperspectral image
classification, namely Support Vector Machines (SVMs), Gaussian Processes (GPs) and the …

Hyperspectral imaging has been considerably developed during the recent decades. The
application of hyperspectral imagery and infrared thermography, particularly for the …

The study of hand samples is a significant aspect of geoscience. This work showcases a
technique for relatively quick and inexpensive mineral characterization, applied to a …

Described herein is a method and system for characterizing in-ground rock types from
measurement-while-drilling data in a mining environment. The method includes the steps of …

Identification of geology and mineralogy in situ on the mine face is essential if mining
processes are to be automated for tasks such as exploration, grading and reconciliation …

Hyperspectral image data has great potential to identify and classify the chemical
composition of materials remotely. Factors limiting the use of hyperspectral sensors in …

There is a strong push within the mining sector to develop and adopt automation technology,
including autonomous vehicles such as excavators, trucks and drills. However, for …