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Analysis of a gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series
(2013)
In this paper, an analysis of kernel (GP) and feed-forward neural networks (FFNN) based filter to forecast short rainfall time series is presented. For the FFNN, the learning rule used to adjust the filter weights is based ...
Classication of Agricultural Fields in Satellite Images Using Two-Dimensional Hidden Markov Models
(2013)
Image segmentation is a key competence for many real life
applications such as precision agriculture. In this work we present an
approach to classify agricultural fields in noisy satellite images. We start
with the ...