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dc.contributor.authorBrowne, Matthewen_US
dc.contributor.authorStrauss, Darrellen_US
dc.contributor.authorTomlinson, Rodgeren_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.date.accessioned2017-05-03T13:03:19Z
dc.date.available2017-05-03T13:03:19Z
dc.date.issued2006en_US
dc.date.modified2009-08-26T07:03:38Z
dc.identifier.issn01962892en_US
dc.identifier.doi10.1109/TGRS.2006.877758en_AU
dc.identifier.urihttp://hdl.handle.net/10072/14366
dc.description.abstractRemote sensing using terrestrial optical charge-coupled device cameras is a useful data collection method for geophysical measurement in the nearshore zone, where in situ measurement is difficult and time consuming. In particular, optical video sensing of the variability in human-visible surface refraction due to the nearshore incident wave field is becoming an established method for distal measurement of nearshore subtidal morphology. We report on the use of a low-mounted shore-normal camera for gathering data on cross-shore dissipative characteristics of a dynamic open beach. Data are analyzed for the purposes of classifying three of Wright and Shorts' intermediate classes of morphological beach state as determined by expert raters. Although these beach states are usually thought of as being distinctive in terms of their longshore bar variability, theory predicts that differences should also be observed in cross-shore dissipative characteristics. Three methods of generating features from statistical features from the archived optical data are described and compared in terms of their ability to discriminate between the beach states. Principal component scores of the percentile distributions were found to provide slightly better classification performance (i.e., 85%, while approximating the data using relatively fewer features), whereas classification using intensity distributions alone resulted in the worst performance, classifying 78% of beach states correctly. Class center moment profiles for each beach state were constructed, and results indicate that cross-shore wave dissipation becomes more disorganized as linear bars devolve into more complex transverse structures.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent639888 bytes
dc.format.extent45301 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.publisher.placeNew York, N.Yen_US
dc.publisher.urihttp://ieeexplore.ieee.org/Xplore/dynhome.jspen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom3418en_US
dc.relation.ispartofpageto3426en_US
dc.relation.ispartofissue11en_US
dc.relation.ispartofjournalIEEE Transactions on Geoscience and Remote Sensingen_US
dc.relation.ispartofvolume44en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode260499en_US
dc.titleObjective Beach-State Classification From Optical Sensing of Cross-Shore Dissipation Profilesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2006
gro.hasfulltextFull Text


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