Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/47350
Title: | Automatic identification of shrub vegetation of the Teide National Park | Authors: | Garcia-Pedrero, Angel Rodriguez-Esparragon, Dionisio Ibarrola, Edurne Lillo-Saavedra, Mario Marcello, Javier Gonzalo-Martin, Consuelo |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Remote sensing Image segmentation Feature extraction Vegetation mapping Support vector machines, et al |
Issue Date: | 2015 | Journal: | IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings | Conference: | 4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015 | 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. | URI: | http://hdl.handle.net/10553/47350 | ISBN: | 9781479961740 | DOI: | 10.1109/IWOBI.2015.7160144 | Source: | IWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings (7160144), p. 55-60 |
Appears in Collections: | Actas de congresos |
SCOPUSTM
Citations
2
checked on Nov 17, 2024
Page view(s)
149
checked on Aug 10, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.