Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information - Cracknell, Matthew J.; Reading, Anya M. (Computers & geosciences, 2014)
Keywords: automation; cartography; computers; Geological mapping; geophysics; Machine learning; neural networks; prediction; Remote sensing; Spatial clustering; spatial data; Spatial information; Supervised classification; support vector machines; Spatial information; Geological mapping; Spatial clustering; Remote sensing; Supervised classification; Machine learning