A new object-oriented methodology to detect oil spills using envisat images

Topouzelis, K; Karathanassi, V; Pavlakis, P; Rokos, D

dc.contributor.author	Topouzelis, K	en
dc.contributor.author	Karathanassi, V	en
dc.contributor.author	Pavlakis, P	en
dc.contributor.author	Rokos, D	en
dc.date.accessioned	2014-03-01T02:51:01Z
dc.date.available	2014-03-01T02:51:01Z
dc.date.issued	2007	en
dc.identifier.issn	03796566	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35298
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-36448980272&partnerID=40&md5=e42aa02a800f6e4d30b041c5249be55f	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Image segmentation	en
dc.subject.other	Imaging systems	en
dc.subject.other	Marine pollution	en
dc.subject.other	Object oriented programming	en
dc.subject.other	Synthetic aperture radar	en
dc.subject.other	Aerial surveillance	en
dc.subject.other	Fuzzy classification method	en
dc.subject.other	Oil spill detection	en
dc.subject.other	Oil spills	en
dc.title	A new object-oriented methodology to detect oil spills using envisat images	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	Besides accidental pollution caused by ships in distress, different types of routine ship operations lead to deliberate discharges of oil in the sea. Illicit discharges are the greatest source of marine pollution from ships, and the one which poses a long-term threat to the marine and coastal environment. Satellite monitoring, in particular using Synthetic Aperture Radar (SAR) observations, may represent an effective tool for complementing traditional aerial surveillance. The capability of SAR in detecting oil slicks over the sea surface is well known and proven since a long time. A new automated methodology for oil spill detection was previously presented using ERS full resolution SAR data. In the present study a first attempt to examine the technique to ASAR ENVISAT medium resolution scenes was performed. The methodology relies on the object oriented approach and profits of image segmentation techniques in order for dark formations to be detected. A fuzzy classification method is used to classify dark formations to oils spill or look-alikes.	en
heal.journalName	European Space Agency, (Special Publication) ESA SP	en
dc.identifier.issue	SP-636	en