Observatorio de I+D+i UPM

Descripción
Remote sensing can be defined as the technique that allows data acquisition of the land surface without contact with the material object of observation. The development of tools for analyzing and processing multispectral images captured by satellites has provided the automation of tasks that could not be possible otherwise. The main problem raises this discipline is the large volume of data with multidimensional nature that must be handled. The concept of spectral index emerged as an idea to reduce the number of dimensions to one and thus facilitate the study of different aspects related to the types of land cover categories that exhibits a multispectral image. A spectral index is defined as a combination of spectral bands whose function is to enhance the contribution of one type of land cover mitigating the rest of covers. In this work a no-supervised methodology to analyze and discover spectral indexes based on growing self-organizing neural network (GCS-Growing Cell Structures) is presented.
Internacional	Si
Nombre congreso	2nd South-East European Conference on Computational Mechanics. SEECCM¿09
Tipo de participación	960
Lugar del congreso	Rodas. Grecia
Revisores	Si
ISBN o ISSN	978-960-254-683-3
DOI
Fecha inicio congreso	22/06/2009
Fecha fin congreso	24/06/2009
Desde la página	92
Hasta la página	92
Título de las actas	2nd South-East European Conference on Computational Mechanics

Esta actividad pertenece a memorias de investigación

• Autor: Maria Soledad Delgado Sanz (UPM)
• Autor: Consuelo Gonzalo Martin (UPM)
• Autor: M.Estibaliz Martinez Izquierdo (UPM)
• Autor: Agueda Arquero Hidalgo (UPM)

• Creador: Departamento: Organización y Estructura de la Información
• Departamento: Arquitectura y Tecnología de Sistemas Informáticos