• DocumentCode
    66390
  • Title

    Long-Term Automated Monitoring of Nearshore Wave Height From Digital Video

  • Author

    Gal, Yaniv ; Browne, Matthew ; Lane, Christopher

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • Volume
    52
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    3412
  • Lastpage
    3420
  • Abstract
    This paper presents a new method for estimating nearshore wave height from a digital video sequence. The method identifies main wave breaking zones in the video records and estimates the height of breaking waves inside the detected breaking zones. A geometric rectification is applied to the resulting estimation to convert the height measurement from image pixels to meters. The validation of the algorithm was undertaken over three months at Surfers Paradise, Australia. The performance of the algorithm was demonstrated to be comparable with that of buoy-measured wave height, as well as manual estimates of the onshore wave height by a surf reporter. The results indicate that the method can be used as a cost-effective tool for long-term monitoring of nearshore wave conditions.
  • Keywords
    geophysical image processing; height measurement; image sequences; object detection; ocean waves; oceanographic regions; oceanographic techniques; video signal processing; Australia; Surfers Paradise; breaking zone detection; buoy-measured wave height; digital video sequence; geometric rectification; height measurement; image pixels; long-term automated monitoring; main wave breaking zones; nearshore wave condition; nearshore wave height estimation; surf reporter; Algorithm design and analysis; Cameras; Image edge detection; Meteorology; Monitoring; Sea measurements; Video sequences; Digital image processing; digital video analysis; wave breaking zone detection; wave detection; wave height;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2272790
  • Filename
    6573321