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dc.contributor.authorCalder, B. R.
dc.contributor.authorLinnett, L. M.
dc.date.accessioned2018-10-11T14:08:08Z
dc.date.available2018-10-11T14:08:08Z
dc.date.issued1997
dc.identifier11446
dc.identifier.govdocCP-45
dc.identifier.urihttp://hdl.handle.net/20.500.12489/407
dc.description.abstractWe consider a Bayesian approach to the problem of inferring parameters of the SONAR environment given only the gathered sidescan image. A simplified model of the process is developed along with suitable distributions on the parameters, and a sampling technique is utilised to estimate the parameters most likely given the data. As an example, we apply this technique to estimation of a step-gain TVG curve and use the results in restoration of legacy sidescan data.
dc.format8 p. : ill. ; digital, PDF file
dc.languageEnglish
dc.publisherNATO. SACLANTCEN
dc.sourceIn: High Frequency Seafloor Acoustics (SACLANTCEN Conference Proceedings CP-45), 1997, pp. 91-98
dc.subjectSonar images
dc.subjectImage processing
dc.subjectBayesian statistical decision theory
dc.subjectSide scan sonar
dc.titleBayesian inference and sidescan restoration
dc.typePapers and Articles
dc.typeConference Proceedings (CP)


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