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

Face Mapping in Open Pit Mines—A New Approach

“…Preliminary work was undertaken in 2018 as a first attempt at this approach [1]. The technological evolution in this field comes with remote sensing techniques, for example, ground-based, closerange hyperspectral sensors measure remote reflectance properties of mineral and rock masses, resulting in unsupervised classification waste from ore [2]. Many other researchers have recently published articles, which present numerous cases of UAV-photogrammetry applications, such as the identification of faults, fractures, bedding surfaces [3], rock mass discontinuities and kinematic stability of pit slopes [4], the data collection for geological survey and generation of thematic maps with potential landslides and steep rock faces [5,6], the classification of the lithology of mining face, and using photogrammetry point cloud data and machine learning algorithms [7].…”