NDLI: Automatic identification of shrub vegetation of the Teide National Park

Content Provider	IEEE Xplore Digital Library
Author	Garcia-Pedrero, A. Rodriguez-Esparragon, D. Gonzalo-Martin, C. Ibarrola, E. Lillo-Saavedra, M. Marcello, J.
Copyright Year	2015
Description	Author affiliation: Fac. de Ing. Agricola, Univ. de Concepcion, Chillan, Chile (Lillo-Saavedra, M.) \|\| Center of Biomed. Technol., Univ. Politec. de Madrid, Pozuelo de Alarcon, Spain (Garcia-Pedrero, A.; Gonzalo-Martin, C.; Ibarrola, E.) \|\| Inst. de Oceanogr., Univ. de Las Palmas de Gran Canaria, Las Palmas, Spain (Rodriguez-Esparragon, D.; Marcello, J.)
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.
Starting Page	55
Ending Page	60
File Size	6128685
Page Count	6
File Format	PDF
ISBN	9781467378451
e-ISBN	9781467378468
DOI	10.1109/IWOBI.2015.7160144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-10
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Image segmentation Sociology Vegetation mapping Feature extraction Statistics Remote sensing
Content Type	Text
Resource Type	Article

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