Show simple item record

dc.contributorBrekke, Camillaen_GB
dc.date.accessioned2018-10-31T14:31:03Z
dc.date.available2018-10-31T14:31:03Z
dc.date.issued2005
dc.identifier887
dc.identifier.other2005/00893
dc.identifier.urihttp://hdl.handle.net/20.500.12242/1857
dc.description.abstractThis report is written in the context of a PhD-study. The research is aiming at exploiting the potential of automatic detection of oil spills using new, advanced algorithms to demonstrate how well such a system will perform in terms of accuracy on a large set of SAR images. The approach to automatic oil spill detection has three main parts: dark spot detection, feature extraction and spot classification. This report covers some of the most recent contributions to the dark spot detector and the feature extractor.en_GB
dc.language.isoenen_GB
dc.titleAutomatic detection of oil spills by SAR images : dark spot detection and feature extractionen_GB
dc.subject.keywordRadar - SARen_GB
dc.subject.keywordAlgoritmeren_GB
dc.subject.keywordOljeforurensningen_GB
dc.source.issue2005/00893en_GB
dc.source.pagenumber35en_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record