Automatic detection of oil spills by SAR images : dark spot detection and feature extraction
dc.contributor | Brekke, Camilla | en_GB |
dc.date.accessioned | 2018-10-31T14:31:03Z | |
dc.date.available | 2018-10-31T14:31:03Z | |
dc.date.issued | 2005 | |
dc.identifier | 887 | |
dc.identifier.other | 2005/00893 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12242/1857 | |
dc.description.abstract | This 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.iso | en | en_GB |
dc.title | Automatic detection of oil spills by SAR images : dark spot detection and feature extraction | en_GB |
dc.subject.keyword | Radar - SAR | en_GB |
dc.subject.keyword | Algoritmer | en_GB |
dc.subject.keyword | Oljeforurensning | en_GB |
dc.source.issue | 2005/00893 | en_GB |
dc.source.pagenumber | 35 | en_GB |