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dc.contributor.authorFERRARO DI SILVI E CASTIGLIONE Guidoen_GB
dc.contributor.authorTrieschmann Olafen_GB
dc.contributor.authorPERKOVIC Markoen_GB
dc.contributor.authorTARCHI Darioen_GB
dc.date.accessioned2013-08-13T00:02:26Z-
dc.date.available2013-08-12en_GB
dc.date.available2013-08-13T00:02:26Z-
dc.date.created2013-02-20en_GB
dc.date.issued2012en_GB
dc.date.submitted2012-04-20en_GB
dc.identifier.citationPROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING vol. 8536 p. 2-11en_GB
dc.identifier.issn0277-786Xen_GB
dc.identifier.urihttp://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1402400en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC70586-
dc.description.abstractDetected oil spills are usually classified according to confidence levels. Such levels are supposed to describe the probability that an observed dark feature in the satellite image is related to the actual presence of an oil spill. The Synthetic Aperture Radar (SAR) derived oil spill detection probability estimation has been explored as an intrinsic aspect of oil spill classification, which fundamentally computes the likelihood that the detected dark area and its extracted features are related to oil spill. However, the SAR based probability estimation should be integrated with additional criteria in order to become a more effective tool for the End User. As example, the key information for the final users is not the confidence level of the detection “per se” but the alert (i.e. the impact) that such a detection could generate. This topic was deeply discussed in the framework of the R&D European Group of Experts on remote sensing Monitoring of marine Pollution (EGEMP) and a paper was published in 2010. Following this paper, the newly established EMSA CleanSeaNet service (2nd generation) provides the alert level connected to the detection of an potential oil spill in a satellite image in a different way.en_GB
dc.description.sponsorshipJRC.G.4-Maritime affairsen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherS P I E - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERINGen_GB
dc.relation.ispartofseriesJRC70586en_GB
dc.titleConfidence Levels in the Detection of Oil Spills from Satellite Imagery: From Research to Operational Useen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Space, Security and Migration

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