Memorias de investigación
Ponencias en congresos:
Multiscale object-based classification of satellite images merging multispectral information with panchromatic textural features
Año:2011
Áreas de investigación
  • Ingenierías,
  • Procesamiento de imágenes
Datos
Descripción
Once admitted the advantages of object-based classification compared to pixel-based classification; the need of simple and affordable methods to define and characterize objects to be classified, appears. This paper presents a new methodology for the identification and characteriza-tion of objects at different scales, through the integration of spectral information provided by the multispectral image, and textural information from the corresponding panchromatic image. In this way, it has defined a set of objects that yields a simplified representation of the information con-tained in the two source images. These objects can be characterized by different attributes that al-low discriminating between different spectral&textural patterns. This methodology facilitates in-formation processing, from a conceptual and computational point of view. Thus the vectors of attributes defined can be used directly as training pattern input for certain classifiers, as for exam-ple artificial neural networks. Growing Cell Structures have been used to classify the merged in-formation.
Internacional
Si
Nombre congreso
EARSEL 2011
Tipo de participación
960
Lugar del congreso
Praga (Chequia)
Revisores
Si
ISBN o ISSN
978-80-01-04868-9
DOI
Fecha inicio congreso
30/05/2011
Fecha fin congreso
02/06/2011
Desde la página
394
Hasta la página
400
Título de las actas
Remote Sensing and Geoinformation not only for Scientific Cooperation
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen