• DocumentCode
    291669
  • Title

    Sea-ice velocity fields estimation on Ross Sea AVHRR images

  • Author

    Flores, M. ; Maitre, H. ; Parmiggiani, F.

  • Author_Institution
    ENST, Paris, France
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1300
  • Abstract
    NOAA-AVHRR imagery of the Ross Sea (Antarctica) of December 1990 has been analysed in order to obtain information about the geophysical processes acting during the melting season. A complete methodology is proposed for automatic tracking of sea-ice in daylight AVHRR data. Previous tracking algorithms have shown to be able to retrieve sea-ice motion under limited atmospheric conditions: cloud free data are normally required. In this study weaker hypothesis are introduced in order to remain under quite normal circumstances. Two aspects are specially outlined: the use of partially cloudy monocular images and the estimation of ice pack trajectories along an image sequence. First of all, a classification technique is applied for the discrimination of clouds over the sea and for the detection of snow-ice regions. Then, an optima matching filter is used for the sea-ice motion estimation. The finally derived vector field is homogeneous and shows the ice pack motion along three days image data
  • Keywords
    geophysical signal processing; image sequences; motion estimation; oceanographic regions; oceanographic techniques; optical tracking; remote sensing; satellite tracking; sea ice; velocity measurement; AD 1990 12; AVHRR image; Antarctic Ocean; Ross Sea; Southern Ocean; automatic tracking; classification technique; ice pack trajectories; image processing; image sequence; measurement technique; melting season; movement detection; ocean; optical visible IR infrared; optima matching filter; remote sensing; sea ice motion; tracking algorithm; velocity fields estimation; Antarctica; Clouds; Image analysis; Image sequences; Information analysis; Information retrieval; Matched filters; Motion estimation; Sea ice; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399422
  • Filename
    399422