Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data
Año:2011
Áreas de investigación
  • Teledetección,
  • Procesamiento de imágenes
Datos
Descripción
The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modelling.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Latin America Transactions
ISSN
1548-0992
Factor de impacto JCR
0,346
Información de impacto
Volumen
9
DOI
Número de revista
1
Desde la página
1
Hasta la página
8
Mes
MARZO
Ranking
Q4
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Agueda Arquero Hidalgo (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (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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