Leveraging Spatial Metadata in Machine Learning for Improved Objective Quantification of Geological Drill Core
Lewis J. C. Grant,
Miquel Massot‐Campos,
Rosalind M. Coggon
et al.
Abstract:Here we present a method for using the spatial x–y coordinate of an image cropped from the cylindrical surface of digital 3D drill core images and demonstrate how this spatial metadata can be used to improve unsupervised machine learning performance. This approach is applicable to any data set with known spatial context, however, here it is used to classify 400 m of drillcore imagery into 12 distinct classes reflecting the dominant rock types and alteration features in the core. We modified two unsupervised le… Show more
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