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Sea State Estimation from Uncalibrated, Monoscopic Video

dc.contributor.authorLoizou, A
dc.contributor.authorChristmas, J
dc.date.accessioned2021-06-07T12:10:09Z
dc.date.issued2021-06-07
dc.description.abstractVideo of the ocean surface is used as a means for estimating the sea state. Time series of pixel intensity values are given as input to a method that uses the Kalman filter and the least squares approximate solution for estimating the uncalibrated video amplitude spectrum. A method is proposed for scaling this spectrum to metres with the use of an empirical model of the ocean. The significant wave height is estimated from the calibrated video amplitude spectrum. The results are tested against two sets of video data, and buoy measurements in both cases are solely used for indicating the true state. For significant wave height values between 0.5 and 3.6 m, the maximum observed value of root mean square error is 0.37 m and of mean absolute percentage error 16%.en_GB
dc.identifier.citationVol. 2, article 328en_GB
dc.identifier.doi10.1007/s42979-021-00727-0
dc.identifier.urihttp://hdl.handle.net/10871/125970
dc.language.isoenen_GB
dc.publisherSpringer Science and Business Media LLCen_GB
dc.rights© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectocean videoen_GB
dc.subjectsea stateen_GB
dc.subjectFiltering algorithmsen_GB
dc.subjectKalman flteren_GB
dc.subjectAmplitude scalingen_GB
dc.subjectGeophysical image processingen_GB
dc.titleSea State Estimation from Uncalibrated, Monoscopic Videoen_GB
dc.typeArticleen_GB
dc.date.available2021-06-07T12:10:09Z
dc.identifier.issn2662-995X
exeter.article-number328en_GB
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.identifier.journalSN Computer Scienceen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-05-29
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-06-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-06-07T12:08:39Z
refterms.versionFCDVoR
refterms.dateFOA2021-06-07T12:10:37Z
refterms.panelBen_GB


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© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/