• DocumentCode
    819995
  • Title

    Comparative study of two recent edge-detection algorithms designed to process sea-surface temperature fields

  • Author

    Cayula, Jean-Franqois ; Cornillon, P. ; Holyer, Ronald ; Peckinpaugh, Sarah

  • Author_Institution
    Graduate Sch. of Oceanogr., Rhode Island Univ., Narragansett, RI, USA
  • Volume
    29
  • Issue
    1
  • fYear
    1991
  • fDate
    1/1/1991 12:00:00 AM
  • Firstpage
    175
  • Lastpage
    177
  • Abstract
    Two algorithms used for the detection of fronts in satellite-derived sea-surface temperature fields are compared. The two algorithms produced surprisingly comparable results considering the substantial differences in the two approaches: multilevel (Algorithm 1) versus locally based (Algorithm 2). Algorithm 1 offers the advantage of shorter run times. Algorithm 2 can be made faster if one is willing to accept less reliable edge detection. Algorithm 1 also offers the advantage of being adaptive and therefore automatic in its application to different data sets. However, when direct control with regard to detection of the edges is demanded, Algorithm 2 contains two tunable parameters to select the smoothness and the strength of edges, while Algorithm 1 as presently coded does not
  • Keywords
    computerised pattern recognition; computerised picture processing; geophysics computing; remote sensing; temperature distribution; AD 1983 04 28; North Atlantic; data sets; edge-detection algorithms; fronts; image processing; run times; satellite-derived sea-surface temperature fields; sea-surface temperature fields; tunable parameters; Algorithm design and analysis; Clouds; Humans; Image edge detection; Ocean temperature; Pixel; Process design; Sea measurements; Sea surface; Shape;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.103308
  • Filename
    103308