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A Comparative Study of Two Neural Models for Cloud Screening of Iberian Peninsula Meteosat Images

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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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 (CH) and CLOUDS WITH VERTICAL GROWTH (CV).

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Author information

Authors and Affiliations

  1. Departamento de Electrónica e Ingeniería Electromecánica, Universidad de Extremadura, Avda. de Elvas s/n, 06071, Badajoz, Spain

    Miguel Macías Macías & F. Javier López Aligué

  2. Departamento de Física, Universidad de Extremadura, Avda. de Elvas s/n, 06071, Badajoz, Spain

    Antonio Serrano Pérez & Antonio Astilleros Vivas

Authors
  1. Miguel Macías Macías
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  2. F. Javier López Aligué
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  3. Antonio Serrano Pérez
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  4. Antonio Astilleros Vivas
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Macías Macías, M., Javier López Aligué, F., Serrano Pérez, A., Astilleros Vivas, A. (2001). A Comparative Study of Two Neural Models for Cloud Screening of Iberian Peninsula Meteosat Images. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_22

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  • DOI: https://doi.org/10.1007/3-540-45723-2_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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