Pattern recognition in AVHRR images by means of hibryd and neuro-fuzzy systems

Authors:
Jose Antonio Piedra;Francisco Guindos;Alberto Molina;Manuel Canton
Affiliations:
Departmento de Languajes y Computación, Universidad de Almeria, Almeria, Spain;Departmento de Languajes y Computación, Universidad de Almeria, Almeria, Spain;Departmento de Languajes y Computación, Universidad de Almeria, Almeria, Spain;Departmento de Languajes y Computación, Universidad de Almeria, Almeria, Spain
Venue:
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

Citing 3
Cited 0

Fuzzy Logic

Computer
Feature subset selection by Bayesian network-based optimization

Artificial Intelligence
Induction of selective Bayesian classifiers

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence

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Abstract

The main goal of this work is to improve the automatic interpretation of ocean satellite images. We present a comparative study of different classifiers: Graphic Expert System (GES), ANN-based Symbolic Processing Element (SPE), Hybrid System (ANN – Radial Base Function & Fuzzy System), Neuro-Fuzzy System and Bayesian Network.. We wish to show the utility of hybrid and neuro-fuzzy system in recongnition of oceanic structures. On the other hand, other objective is the feature selection, which is considered a fundamental step for pattern recognition. This paper reports a study of learning Bayesian Network for feature selection [1] in the recognition of oceanic structures in satellite images.