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dc.contributor.authorBozzano, Roberto
dc.contributor.authorSiccardi, Antonio
dc.date.accessioned2018-10-11T14:08:07Z
dc.date.available2018-10-11T14:08:07Z
dc.date.issued1997
dc.identifier11442
dc.identifier.govdocCP-45
dc.identifier.urihttp://hdl.handle.net/20.500.12489/402
dc.description.abstractThis paper focuses on the characterization of seabed vegetation, an interesting problem in a lot of Mediterranean sea coastal sites since water quality and pollution degree can be efficaciously solved by investigating the sea flora extents. The acquisition of the data about marine vegetation is accomplished by using a high frequency imaging sonar scanning the seabed. The proposed approach is based on a statistical feature-based description of the raw sonar data. A simple classifier attempts fo characterize the acquired samples.
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. 57-64
dc.subjectSeafloor vegetation
dc.subjectSeafloor characterization
dc.subjectHigh Frequency Acoustics
dc.subjectSonar images
dc.titleA high frequency approach for seabed vegetation characterization
dc.typePapers and Articles
dc.typeConference Proceedings (CP)


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