Abstract
In this work we make a comparative study of the results obtained in the automatic interpretation of the Iberian Peninsula Meteosat images by means of neural networks techniques, in particular, multi-layer perceptrons and self organizing maps. The interpretation of these images implies their segmentation in the classes SEA (S), LAND (L), LOW CLOUDS (CL), MIDDLE CLOUDS (CM), HIGH CLOUDS (C H) and CLOUDS WITH VERTICAL GROWTH (CV). © Springer-Verlag Berlin Heidelberg 2001.
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CITATION STYLE
Macías Macías, M., López Aligué, F. J., Pérez, A. S., & Vivas, A. A. (2001). A comparative study of two neural models for cloud screening of Iberian Peninsula Meteosat images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 184–191). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_22
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