Machine Learning Tools for Geomorphic Mapping of Planetary Surfaces

Abstract

Machine learning can play a vital role in automating the process of geomorphic mapping. A learning system can be employed to either fully automate the process of discovering meaningful landform classes using clustering techniques; or it can be used instead to predict the class of unlabeled landforms - after an expert has manually labeled a representative sample of the landforms - using classification techniques.