RT Journal Article
T1 Automatic decision support system based on SAR data for oil spill detection
A1 Mera Pérez, David
A1 Cotos Yáñez, José Manuel
A1 Varela Pet, José
A1 Rodríguez, Pablo G.
A1 Caro, Andrés
K1 Decision support system
K1 Oil spills
K1 SAR
K1 Adaptive threshold
K1 Shape characterization
AB Global 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
PB Elsevier
SN 0098-3004
YR 2014
FD 2014-07-31
LK http://hdl.handle.net/10347/16827
UL http://hdl.handle.net/10347/16827
LA eng
NO 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.
NO This 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
NO The authors wish to thank the financial support provided by the ‘Deputación da Coruña’ under the ‘Bolsas de Investigación 2013’ programme
DS Minerva
RD 24 abr 2026