Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48656
Title: Precise classification of coastal benthic habitats using high resolution Worldview-2 imagery
Authors: Marcello, J. 
Marques, F.
Eugenio, F. 
Martin, J. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Worldview-2
Benthic Classification
Svm
Seagrass
Issue Date: 2015
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 
Abstract: The analysis of the seafloor in shallow waters using remote sensing imagery at very high spatial resolution is a very challenging topic due to the minimum signal level received; the presence of noisy contributions from the atmosphere, solar reflection, foam, turbidity and water column; and the limited spectral information available for the classification at such depths that impedes, for example, the extraction of vegetation indices. In this complex scenario we have developed a mapping methodology that involves the precise application of pre-processing techniques and the use of efficient classification algorithms. In particular, after a detailed assessment, support vector machines achieved the best performance using the appropriate kernel and parameters. Two natural areas located at the Canary Islands (Spain) have been selected for their benthic habitats richness and specially for their preservation of highly protected seagrass regions.
URI: http://hdl.handle.net/10553/48656
ISBN: 9781479979295
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2015.7326269
Source: International Geoscience and Remote Sensing Symposium (IGARSS),v. 2015-November (7326269), p. 2307-2310
Appears in Collections:Actas de congresos
Thumbnail
Adobe PDF (664,75 kB)
Show full item record

SCOPUSTM   
Citations

3
checked on Apr 18, 2021

WEB OF SCIENCETM
Citations

1
checked on Feb 28, 2021

Page view(s)

43
checked on Apr 18, 2021

Download(s)

41
checked on Apr 18, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.