Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Optimizing classification accuracy of remotely sensed imagery with DT-CWT fused images
Year:2009
Research Areas
  • Processing and signal analysis
Information
Abstract
Image fusion is a basic tool for combining low spatial resolution multi-spectral and high spatial resolution panchromatic images using advanced image processing techniques. Study on efficient image fusion method for specific application is one of the most important objectives in current remote sensing community. On the other hand, it is well known that the image classification techniques combine complex processes that may be affected by factors like the resolution of remote sensed images. This study focuses on the influence of image fusion on spectral classification algorithms and their accuracy. Results are presented on SPOT images. The best results were achieved by Dual Tree Complex Wavelet Transform (DT-CWT)).
International
Si
JCR
No
Title
Lecture notes in computer science
ISBN
0302-9743
Impact factor JCR
0
Impact info
Volume
5856
10.1007/978-3-642-10268-4_120
Journal number
1
From page
1031
To page
1038
Month
NOVIEMBRE
Ranking
Participants
  • Autor: Diego Renza Torres (Universidad Nacional de Colombia)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
  • Autor: Agueda Arquero Hidalgo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)