Coastal Monitoring: Classification of beach areas using machine learning techniques

DYLAN S. LASSO; NATALIA V. REVOLLO; CLAUDIO DELRIEUX; GIAN MAVO; GERARDO PERILLO

Valdivia

Conferencia; Conference: XV IEEE Latin-American Summer School on Computational Intelligence; 2019

Beaches are highly dynamic environments, wherecomplex modifications occur in a wide range of space-time scales.For this reason, and in order to study its dynamics and morphology, continuous monitoring is required. In the last decades,remote monitoring systems have proven to be an alternativefor this and other similar purposes. In this work, classificationmethods were used using machine learning techniques, withvideos taken from Pehuen-C ´ o beach (Argentina). Different beach ´zones were automatically classified according to domain expertscriteria, achieving an accuracy over 92 %.