Mostrar o rexistro simple do ítem

dc.contributor.authorMera, David
dc.contributor.authorCotos, José M.
dc.contributor.authorVarela-Pet, José
dc.contributor.authorRodríguez, Pablo G.
dc.contributor.authorCaro, Andrés
dc.date.accessioned2018-06-15T11:33:37Z
dc.date.available2018-06-15T11:33:37Z
dc.date.issued2014-07-31
dc.identifier.citationMera, D., Cotos, J., Varela-Pet, J., G. Rodríguez, P. and Caro, A. (2014). Automatic decision support system based on SAR data for oil spill detection. Computers & Geosciences, 72, pp.184-191.
dc.identifier.issn0098-3004
dc.identifier.urihttp://hdl.handle.net/10347/16827
dc.descriptionThis is the accepted manuscript of the following article: Mera, D., Cotos, J., Varela-Pet, J., G. Rodríguez, P. and Caro, A. (2014). Automatic decision support system based on SAR data for oil spill detection. Computers & Geosciences, 72, pp.184-191
dc.description.abstractGlobal trade is mainly supported by maritime transport, which generates important pollution problems. Thus, effective surveillance and intervention means are necessary to ensure proper response to environmental emergencies. Synthetic Aperture Radar (SAR) has been established as a useful tool for detecting hydrocarbon spillages on the oceans surface. Several Decision Support Systems have been based on this technology. This paper presents an automatic oil spill detection system based on SAR data which was developed on the basis of confirmed spillages and it was adapted to an important international shipping route off the Galician coast (northwest Iberian Peninsula). The system was supported by an adaptive segmentation process based on wind data as well as a shape oriented characterization algorithm. Moreover, two classifiers were developed and compared. Thus, image testing revealed up to 95.1% candidate labeling accuracy. Shared-memory parallel programming techniques were used to develop algorithms in order to improve above a 25% of the system processing time
dc.description.sponsorshipThe authors wish to thank the financial support provided by the ‘Deputación da Coruña’ under the ‘Bolsas de Investigación 2013’ programme
dc.language.isoeng
dc.publisherElsevier
dc.rights© 2014 Elsevier Inc. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision support system
dc.subjectOil spills
dc.subjectSAR
dc.subjectAdaptive threshold
dc.subjectShape characterization
dc.titleAutomatic decision support system based on SAR data for oil spill detection
dc.typejournal article
dc.identifier.doi10.1016/j.cageo.2014.07.015
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.cageo.2014.07.015
dc.type.hasVersionAM
dc.rights.accessRightsopen access
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto de Investigacións Tecnolóxicas
dc.description.peerreviewedSI


Ficheiros no ítem

application/pdf
Nome: 1-s2.0-S0098300414001812-main.pdf
Tamaño: 2.444 Mb
Formato: PDF


Thumbnail

Este ítem aparece na(s) seguinte(s) colección(s)

Mostrar o rexistro simple do ítem

© 2014 Elsevier Inc. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
A licenza do ítem descríbese como
 © 2014 Elsevier Inc. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)





Recolectores:Enlaces de interese:
Universidade de Santiago de Compostela | Teléfonos: +34 881 811 000 e +34 982 820 000 | Contacto | Suxestións