• DocumentCode
    812471
  • Title

    Skeletal modeling of ice leads

  • Author

    Banfield, Jeff

  • Author_Institution
    Dept. of Math. Sci., Montana State Univ., Bozeman, MT, USA
  • Volume
    30
  • Issue
    5
  • fYear
    1992
  • fDate
    9/1/1992 12:00:00 AM
  • Firstpage
    918
  • Lastpage
    923
  • Abstract
    A morphological, model-based method for the automatic identification of ice leads is presented. The morphological model is based on skeletons, a tool from mathematical morphology that provides a structural description of ice lead shape. The model provides a significant reduction in the space needed to store an image with virtually no loss of morphological information. To illustrate the use of skeletons, various lead statistics, such as length and area, are calculated from lead skeletons and used to assess the effect of image smoothing and thresholding
  • Keywords
    geophysics computing; image processing; oceanographic techniques; remote sensing by radar; sea ice; area; automatic identification; ice leads; image smoothing; image storage space; lead statistics; length; model-based method; morphological model; radar remote sensing; structural description; thresholding; Data compression; Image storage; Mathematical model; Morphology; Sea ice; Sea measurements; Shape; Skeleton; Smoothing methods; Statistics;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.175326
  • Filename
    175326