Automatic detection and tracking of oil spills in SAR imagery with level set segmentation

Karantzalos, K; Argialas, D

dc.contributor.author	Karantzalos, K	en
dc.contributor.author	Argialas, D	en
dc.date.accessioned	2014-03-01T02:45:09Z
dc.date.available	2014-03-01T02:45:09Z
dc.date.issued	2008	en
dc.identifier.issn	0143-1161	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32172
dc.subject	Automatic Detection	en
dc.subject	Computer Vision	en
dc.subject	Development Process	en
dc.subject	Edge Detection	en
dc.subject	Environmental Monitoring	en
dc.subject	Feature Extraction	en
dc.subject	Image Segmentation	en
dc.subject	Legislation	en
dc.subject	Level Set	en
dc.subject	Oil Spill	en
dc.subject	Remote Sensing	en
dc.subject	Shape Deformation	en
dc.subject	Variational Method	en
dc.subject	Real Time	en
dc.subject.classification	Remote Sensing	en
dc.subject.classification	Imaging Science & Photographic Technology	en
dc.subject.other	Accidents	en
dc.subject.other	Coastal zones	en
dc.subject.other	Edge detection	en
dc.subject.other	Hazardous materials spills	en
dc.subject.other	Image processing	en
dc.subject.other	Image segmentation	en
dc.subject.other	Level measurement	en
dc.subject.other	Marine pollution	en
dc.subject.other	Offshore oil well production	en
dc.subject.other	Oil spills	en
dc.subject.other	Separation	en
dc.subject.other	Sewage	en
dc.subject.other	Synthetic apertures	en
dc.subject.other	Target drones	en
dc.subject.other	Wastewater	en
dc.subject.other	Automatic detections	en
dc.subject.other	Coastal environments	en
dc.subject.other	Detection techniques	en
dc.subject.other	Image simplifications	en
dc.subject.other	Level sets	en
dc.subject.other	Oil spill detections	en
dc.subject.other	Pre-processing	en
dc.subject.other	Processing schemes	en
dc.subject.other	SAR imageries	en
dc.subject.other	Shape deformations	en
dc.subject.other	Time detections	en
dc.subject.other	Oil well production	en
dc.subject.other	algorithm	en
dc.subject.other	conference proceeding	en
dc.subject.other	detection method	en
dc.subject.other	image analysis	en
dc.subject.other	monitoring	en
dc.subject.other	oil spill	en
dc.subject.other	radar imagery	en
dc.subject.other	segmentation	en
dc.subject.other	synthetic aperture radar	en
dc.subject.other	tracking	en
dc.title	Automatic detection and tracking of oil spills in SAR imagery with level set segmentation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1080/01431160802175488	en
heal.identifier.secondary	http://dx.doi.org/10.1080/01431160802175488	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Automatic detection and monitoring of oil spills and illegal oil discharges is of fundamental importance in ensuring compliance with marine legislation and protection of the coastal environments, which are under considerable threat from intentional or accidental oil spills, uncontrolled sewage and wastewater discharged. In this paper, the level set based image segmentation was evaluated for the real-time detection and tracking of oil spills from SAR imagery. The processing scheme developed consists of a pre-processing step, in which an advanced image simplification takes place, followed by a geometric level set segmentation for the detection of possible oil spills. Finally, a classification was performed for the separation of look-alikes, leading to oil spill extraction. Experimental results demonstrate that the level set segmentation is a robust tool for the detection of possible oil spills, copes well with abrupt shape deformations and splits and outperforms earlier efforts that were based on different types of thresholds or edge detection techniques. The developed algorithm's efficiency for real-time oil spill detection and monitoring was also tested.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	International Journal of Remote Sensing	en
dc.identifier.doi	10.1080/01431160802175488	en
dc.identifier.isi	ISI:000260326200016	en
dc.identifier.volume	29	en
dc.identifier.issue	21	en
dc.identifier.spage	6281	en
dc.identifier.epage	6296	en