A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping

25 May 2020Benjamin LucasCharlotte PelletierDaniel SchmidtGeoffrey I. WebbFrançois Petitjean

Land cover maps are a vital input variable to many types of environmental research and management. While they can be produced automatically by machine learning techniques, these techniques require substantial training data to achieve high levels of accuracy, which are not always available... (read more)

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