Artículos en revistas:
Clasificación de Imágenes de Satélite mediante Reglas Difusas Generadas a partir de un Algoritmo Genético
Clasificación de Imágenes de Satélite mediante Reglas Difusas Generadas a partir de un Algoritmo Genético
Año:2011
Áreas de investigación
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Teledetección, -
Procesamiento de imágenes
Datos
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Descripción
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| The data acquired by Remote Sensing systems allow obtaining thematic maps of the earth?s surface, by means of the registered image classification. This implies the identification and categorization of all pixels into land cover classes. Traditionally, methods based on statistical parameters have been widely used, although they show some disadvantages. Nevertheless, some authors indicate that those methods based on artificial intelligence, may be a good alternative. Thus, fuzzy thematic classifiers, which are based on Fuzzy Logic, include additional information in the classification process through based-rule systems. In this work, we propose the use of a genetic algorithm (GA) to select the optimal and minimum set of fuzzy rules to classify remotely sensed images by means a fuzzy classifier. Input information of GA has been obtained through the training space determined by two uncorrelated spectral bands (2D scatter diagrams), which has been irregularly divided by five linguistic terms defined in each band. The proposed methodology has been applied to Landsat-TM images and it has showed that this set of rules provides a higher accuracy level in the classification results. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Ieee Latin America Transactions |
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ISSN
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1548-0992 |
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Factor de impacto JCR
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0,346 |
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Información de impacto
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Volumen
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9 |
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DOI
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Número de revista
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1 |
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Desde la página
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9 |
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Hasta la página
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14 |
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Mes
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MARZO |
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Ranking
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Q4 |
Participantes
- Autor: Oscar Gordo Martín (UPM)
- Autor: M.Estibaliz Martinez Izquierdo (UPM)
- Autor: Consuelo Gonzalo Martin (UPM)
- Autor: Agueda Arquero Hidalgo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
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