Towards nonlinear wave reconstruction and prediction from synthetic radar images

Andreas Parama Wijaya

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    The use of remotely wave sensing by a marine radar is increasingly needed to provide wave information for the sake of safety and operational effectiveness in many offshore activities. Reconstruction of radar images needs to be carried out since radar images are a poor representation of the sea surface elevation: effects like shadowing and tilt determine the backscattered intensity of the images. In [1], the sea state reconstruction and wave propagation to the radar has been tackled successfully for synthetic radar images of linear seas, except for a scaling in the vertical direction. The determination of the significant wave height from the shadowed images only has been described in [2]. This paper will summarize these methods, and provides the first results for the extension to nonlinear seas.
    Original languageEnglish
    Title of host publicationProceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering: 7: Ocean Engineering
    PublisherAmerican Society of Mechanical Engineers (ASME)
    Number of pages6
    ISBN (Print)978-0-7918-4998-9
    DOIs
    Publication statusPublished - 19 Jun 2016
    EventASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2016 - Busan, Korea, Republic of
    Duration: 19 Jun 201624 Jun 2016
    Conference number: 35

    Publication series

    Name
    PublisherThe American Society of Mechanical Engineers
    NumberOMAE2016-5
    Volume7

    Conference

    ConferenceASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2016
    Abbreviated titleOMAE
    CountryKorea, Republic of
    CityBusan
    Period19/06/1624/06/16

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  • Cite this

    Wijaya, A. P. (2016). Towards nonlinear wave reconstruction and prediction from synthetic radar images. In Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering: 7: Ocean Engineering American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/OMAE2016-54496