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dc.contributor.authorBrowne, Matthew
dc.contributor.authorStrauss, Darrell
dc.contributor.authorTomlinson, Rodger
dc.contributor.authorBlumenstein, Michael
dc.date.accessioned2017-05-03T13:03:19Z
dc.date.available2017-05-03T13:03:19Z
dc.date.issued2006
dc.date.modified2009-08-26T07:03:38Z
dc.identifier.issn0196-2892
dc.identifier.doi10.1109/TGRS.2006.877758
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent639888 bytes
dc.format.extent45301 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglish
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.publisher.placeNew York, N.Y
dc.publisher.urihttp://ieeexplore.ieee.org/Xplore/dynhome.jsp
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom3418
dc.relation.ispartofpageto3426
dc.relation.ispartofissue11
dc.relation.ispartofjournalIEEE Transactions on Geoscience and Remote Sensing
dc.relation.ispartofvolume44
dc.rights.retentionY
dc.subject.fieldofresearchGeophysics
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchEarth sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode3706
dc.subject.fieldofresearchcode4013
dc.subject.fieldofresearchcode37
dc.subject.fieldofresearchcode40
dc.titleObjective Beach-State Classification From Optical Sensing of Cross-Shore Dissipation Profiles
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 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.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorTomlinson, Rodger B.
gro.griffith.authorStrauss, Darrell R.


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