Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Automatic identification of shrub vegetation of the Teide National Park
Year:2015
Research Areas
  • Remote sensing,
  • Image processing
Information
Abstract
The identification of vegetation using remote sensing imagery is an important area of work with numerous applications such as the analysis of deforestation and crop monitoring. This work focuses on locating populations of an endemic shrub of the Canary Islands that grows in Teide National Park: the Teide broom. The objective is to determine automatically the location of this species in order to facilitate conservation efforts. For this purpose, a methodology is presented based on image analysis by using superpixels as the minimum image processing unit, combined with one-class classification. The proposed scheme has been analyzed by applying it to an area located at the northwest of the Teide National Park where the existence of populations of this shrub was known a priori.
International
Si
10.1109/IWOBI.2015.7160144
Book Edition
1
Book Publishing
IEEE
ISBN
978-1-4673-7845-1
Series
Book title
Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on
From page
55
To page
60
Participants
  • Autor: Angel Mario García Pedrero (UPM)
  • Autor: Dionisio Rodriguez Esparragon (ULPGC)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Edurne Ibarrola (UPM)
  • Autor: Mario Fernando Lillo Saavedra (UPM)
  • Autor: Francisco Javier Marcello (ULPGC)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • 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)