Abstract
In this paper, we present a multiagent system for satellite image classification. With this aim we will describe a new classification algorithm based on cellular automata called ACA (Algorithm based on Cellular Automata). This algorithm can be modeled by agents. Actually, there are different classification algorithms, such as minimum distance and parallelepiped classifiers, but none is fullreliable in terms of quality. One of the main advantages of ACA is to provide a mechanism which offers a hierarchical classification divided into levels of reliability with a final quality optimized through contextual techniques. Finally, we have developed a multiagent system which allows to classify satellite images in the SOLERES framework.
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© 2012 Springer-Verlag Berlin Heidelberg
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Espínola, M., Piedra, J.A., Ayala, R., Iribarne, L., Leguizamón, S., Menenti, M. (2012). ACA Multiagent System for Satellite Image Classification. In: Rodríguez, J., Pérez, J., Golinska, P., Giroux, S., Corchuelo, R. (eds) Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28795-4_11
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DOI: https://doi.org/10.1007/978-3-642-28795-4_11
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