• DocumentCode
    3569870
  • Title

    Automatic segmentation of oceanic eddies on AVHRR thermal infrared sea surface images

  • Author

    Thonet, Hubert ; Lemonnier, Bruno ; Delmas, Roger

  • Author_Institution
    Centre Mil. d´´Oceanogr., Brest, France
  • Volume
    2
  • fYear
    1995
  • Firstpage
    1122
  • Abstract
    Presents some new developments of a technique for automatic detection of oceanic eddies on satellites infrared sea surface images. This technique relies on an algorithm using multiscale analysis of isotherm curvature and characterization of eddies through the phase portraits method. The main interest of the method is that isotherm curvature can be related to ocean dynamic, particularly to detect and describe such phenomena as mesoscale eddies with spiral patterns. The aim of this work is to obtain a much efficient method both in term of calculation time and stability in the characterization step. This algorithm has been then tested on several thermal infrared images of Bay of Biscay issued from AVHRR radiometer. The results on some typical images are given and statistics on the whole set are briefly described and discussed
  • Keywords
    feature extraction; geophysical signal processing; image segmentation; infrared imaging; oceanographic techniques; pattern recognition; radiometry; remote sensing; AVHRR radiometer; AVHRR thermal infrared; Bay of Biscaye; IR imaging; SST; algorithm; automatic segmentation; eddy imaging; image processing; image segmentation; infrared radiometry; isotherm curvature; measurement technique; mesoscale eddy; multiscale analysis; ocean dynamics; oceanic eddies; remote sensing; sea surface; thermal imaging; Algorithm design and analysis; Image segmentation; Infrared detectors; Infrared imaging; Ocean temperature; Satellite broadcasting; Sea surface; Spirals; Stability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '95. MTS/IEEE. Challenges of Our Changing Global Environment. Conference Proceedings.
  • Print_ISBN
    0-933957-14-9
  • Type

    conf

  • DOI
    10.1109/OCEANS.1995.528582
  • Filename
    528582