Machine learning classification based on k-Nearest Neighbors for PolSAR data
JODAVID A. FERREIRA,
ANNY K.G. RODRIGUES,
RAYDONAL OSPINA
et al.
Abstract:In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one based on stochastic distances) for PolSAR (Polarimetric Synthetic Aperture Radar) imagery. We test the classifiers methods on a set of actual PolSAR data and provide some conclusions. The aim of this work is to show that suitable adapted standard machine learning methods offer excellent performances vs. computational… Show more
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