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dc.contributor.authorFerreira, Fausto
dc.contributor.authorDjapic, Vladimir
dc.contributor.authorMicheli, Michele
dc.contributor.authorCaccia, Massimo
dc.date.accessioned2019-06-27T16:16:14Z
dc.date.available2019-06-27T16:16:14Z
dc.date.issued2019/06
dc.identifier.govdocCMRE-PR-2019-142en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12489/881
dc.description.abstractForward looking sonars (FLS) are nowadays popular for many different applications. In particular, they can be used for Automatic Target Recognition (ATR) in the context of Mine Countermeasures. Currently, ATR techniques are applied to raw data which generates many false positives and the need for human supervision. Mosaicing FLS data increases target contrast and thus reduces false positive rate. Moreover, it implies a considerable data size reduction which is important if one thinks of exchange of data in real time through an acoustic channel with very limited bandwidth. Results of applying a real-time mosaicing algorithm to FLS data generated during Mine Countermeasures missions are shown and discussed thoroughly in this article.en_US
dc.format15 p. : ill. ; digital, PDF fileen_US
dc.language.isoenen_US
dc.publisherCMREen_US
dc.sourceIn: Annual Reviews in Control, volume 40, 2015, pp. 212-226, doi: doi.org/10.1016/j.arcontrol.2015.09.014en_US
dc.subjectSonar imagesen_US
dc.subjectImage processingen_US
dc.subjectAutomated Target Recognition (ATR)en_US
dc.subjectTarget classificationen_US
dc.subjectMine countermeasures (MCM)en_US
dc.subjectReal-time data processingen_US
dc.titleForward looking sonar mosaicing for mine countermeasuresen_US
dc.typeReprint (PR)en_US
dc.typePapers and Articlesen_US


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