• Login
    View Item 
    •   SMARTech Home
    • College of Engineering (CoE)
    • School of Electrical and Computer Engineering (ECE)
    • Laboratory of Computational Computer Vision (LCCV)
    • Laboratory of Computational Computer Vision Publications
    • View Item
    •   SMARTech Home
    • College of Engineering (CoE)
    • School of Electrical and Computer Engineering (ECE)
    • Laboratory of Computational Computer Vision (LCCV)
    • Laboratory of Computational Computer Vision Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Offshore stereo measurements of gravity waves

    Thumbnail
    View/Open
    2012_Benetazzo_et_al_postprint.pdf (6.490Mb)
    Date
    2012-06
    Author
    Benetazzo, Alvise
    Fedele, Francesco
    Gallego, Guillermo
    Shih, Ping-Chang
    Yezzi, Anthony
    Metadata
    Show full item record
    Abstract
    Stereo video techniques are effective for estimating the space-time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is richer than that of time series data retrieved from point wave probes. To prove this, we consider an application of the Wave Acquisition Stereo System (WASS) for the analysis of offshore video measurements of gravity waves in the Northern Adriatic Sea. In particular, we deployed WASS at the oceanographic platform Acqua Alta, off the Venice coast, Italy. Three experimental studies were performed, and the overlapping field of view of the acquired stereo images covered an area of approximately 1100 m². Analysis of the WASS measurements show that the sea surface can be accurately estimated in space and time together, yielding associated directional spectra and wave statistics that agree well with theoretical models. From the observed wavenumber-frequency spectrum one can also predict the vertical profile of the current flow underneath the wave surface. Finally, future improvements of WASS and applications are discussed.
    URI
    http://hdl.handle.net/1853/52846
    Collections
    • Laboratory of Computational Computer Vision Publications [106]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology

    • About
    • Terms of Use
    • Contact Us
    • Emergency Information
    • Legal & Privacy Information
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    • Login
    Georgia Tech

    © Georgia Institute of Technology