• DocumentCode
    3184027
  • Title

    Automatic identification of shrub vegetation of the Teide National Park

  • Author

    Garcia-Pedrero, Angel ; Rodriguez-Esparragon, Dionisio ; Gonzalo-Martin, Consuelo ; Ibarrola, Edurne ; Lillo-Saavedra, Mario ; Marcello, Javier

  • Author_Institution
    Center of Biomed. Technol., Univ. Politec. de Madrid, Pozuelo de Alarcon, Spain
  • fYear
    2015
  • fDate
    10-12 June 2015
  • Firstpage
    55
  • Lastpage
    60
  • 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.
  • Keywords
    forestry; geophysical image processing; image classification; remote sensing; vegetation; Canary island; Spain; Teide broom; Teide national park; crop monitoring; deforestation analysis; endemic shrub; image analysis; image processing unit; one-class classification; remote sensing imagery; shrub vegetation automatic identification; Feature extraction; Image segmentation; Remote sensing; Sociology; Statistics; Support vector machines; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on
  • Conference_Location
    San Sebastian
  • Print_ISBN
    978-1-4673-7845-1
  • Type

    conf

  • DOI
    10.1109/IWOBI.2015.7160144
  • Filename
    7160144