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dc.contributor.authorDugelay, Samantha
dc.contributor.authorFox, Warren L. J.
dc.date.accessioned2019-06-27T15:32:18Z
dc.date.available2019-06-27T15:32:18Z
dc.date.issued2019/06
dc.identifier.govdocCMRE-PR-2019-136en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/876
dc.description.abstractIn mine-hunting operations, there is currently a strong focus on using autonomous systems in order to remove personnel and ships from the minefield. These systems must perform their missions effectively, and the collected data should be exploited efficiently in order to maximize performance. Automatic target recognition (ATR) is a key enabling component of achieving this goal. Whilst immense progress has been made to design an optimal ATR, it still requires further improvement to perform at the level of a human operator in all environments. One way to increase automatic target recognition performance is to fuse multiple pieces of information on a given target, either, at data level (early integration), at feature level (intermediate integration) or at classification level (late integration). This paper details an algorithm for the registration and incoherent fusion of multiple views of synthetic aperture sonar snippets of targets at data level. The assumptions in this study are that data have been gathered on a target from opposing sides and targets have been detected with a basic detector.en_US
dc.format6 p. : ill. ; digital, PDF fileen_US
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: Proceedings of the OCEANS 2015 MTS/IEEE Conference, 18-21 May 2015, Genoa, Italy, doi: 10.1109/OCEANS-Genova.2015.7271407en_US
dc.subjectSynthetic Aperture Sonar (SAS)en_US
dc.subjectAutomated Target Recognition (ATR)en_US
dc.subjectSonar imagesen_US
dc.subjectImage processingen_US
dc.subjectTarget classificationen_US
dc.subjectMine countermeasures (MCM)en_US
dc.subjectMinehuntingen_US
dc.titleActive contours for synthetic aperture sonar snippet registrationen_US
dc.typeReprint (PR)en_US
dc.typePapers and Articlesen_US


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