Ponencia
Pattern Recognition in AVHRR Images by Means of Hibryd and Neuro-fuzzy Systems
Autor/es | Piedra Fernández, José Antonio
Guindo Rojas, Francisco Molina Cantero, Alberto Jesús Cantón Garbin, Manuel |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2005 |
Fecha de depósito | 2024-01-29 |
Publicado en |
|
ISBN/ISSN | 978-3-540-31829-3 0302-9743 1611-3349 (online) |
Resumen | 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 ... 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. |
Agencias financiadoras | Comisión Interministerial de Ciencia y Tecnología (CICYT). España |
Identificador del proyecto | 2004-TIN-05346 |
Cita | Piedra Fernández, J.A., Guindo Rojas, F., Molina Cantero, A.J. y Cantón Garbin, M. (2005). Pattern Recognition in AVHRR Images by Means of Hibryd and Neuro-fuzzy Systems. En EUROCAST 2005: Computer Aided Systems Theory – EUROCAST (373-378), Las Palmas de Gran Canaria (España): Springer Link. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
11556985_48.pdf | 282.2Kb | [PDF] | Ver/ | |