Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results

Several methods have been proposed for correcting the elevation bias in digital elevation models (DEMs) for example, linear regression. Nowadays, supervised machine learning enables the modelling of complex relationships between variables, and has been deployed by researchers in a variety of fields. In the existing literature, several studies have adopted either machine learning or statistical approaches in the task of DEM correction. However, to our knowledge, none of these studies have compared the performance of both approaches, especially with regard …

bias comparison cs.lg digital example fields linear linear regression machine machine learning modelling regression relationships researchers statistical supervised machine learning variables