{"refrec":{"BRefID":215871,"RR":"<b>Siemes, K.; Snellen, M.; Simons, D.G.; Hermand, J.-P.; Meyer, M.; Le Gac, J.-C.</b> (2008). High-frequency multibeam echosounder classification for rapid environmental assessment. <i>J. Acoust. Soc. Am. 123(5)</i>: 3622. <a href=\"http://dx.doi.org/10.1121/1.2934843\" target=\"_blank\">dx.doi.org/10.1121/1.2934843</a>","BEntID":207627,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>J. Acoust. Soc. Am. 123(5)</i>: 3622. <a href=\"https://dx.doi.org/10.1121/1.2934843\" target=\"_blank\">https://dx.doi.org/10.1121/1.2934843</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Siemes, K.; Snellen, M.; Simons, D.G.; Hermand, J.-P.; Meyer, M.; Le Gac, J.-C.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Siemes, K. <i>et al.</i>","Englishabstract":"For shallow-water naval operations, obtaining rapidly an accurate picture of the environmental circumstances often is of high importance. Hereto a multi-sensor approach is required. In this context, the MREA/BP'07 experiment has been carried out south of Elba (Mediterranean Sea), where several techniques of environmental characterization covering the fields of underwater acoustics, physical oceanography and geophysics have been combined [Le Gac&Hermand, 2007]. The required information typically concerns water-column properties, sea surface roughness, and sediment geo-acoustic properties. Estimating these geo-acoustic parameters from inversion of acoustic data received on drifting sparse arrays has proved to be a promising approach. Part of MREA/BP'07 was therefore dedicated to this type of measurement. For validating the resulting geo-acoustic estimates sediment samples were collected. Additionally, measurements were carried out using a multibeam-echosounder. This system provides depth information, but also allows for seafloor classification. The classification approach taken is model-based employing the backscatter data. It discriminates between sediments in the most optimal way by applying the Bayes decision rule for multiple hypotheses, implicitly accounting for backscatter-strength ping-to-ping variability. Here, results of seafloor classification using the multibeam data and a preliminary comparison with the sediment sample analysis and the geo-acoustic parameter estimates as obtained from the drifting arrays are presented.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"High-frequency multibeam echosounder classification for rapid environmental assessment","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:17.368041","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2008,"MonPub":null,"DateUpdate":"2012-06-04","DateCreate":"2012-06-04","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":null,"VABBcode":null,"OpenAcc":1,"DOI":"10.1121/1.2934843"},"refs":null,"anarec":{"AnaID":215871,"PubliDate":2008,"Pagination":"3622","XtraPublOfAnaID":null,"ISBN":null,"Volume":"123","Issue":"5","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43301,"SerRR":"The Journal of the Acoustical Society of America. 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