• DocumentCode
    1456588
  • Title

    Identifiability in wind estimation from scatterometer measurements

  • Author

    Long, David G. ; Mendel, Jerry M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    29
  • Issue
    2
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    268
  • Lastpage
    276
  • Abstract
    The problem of identifiability of a wind vector that is estimated from wind scatterometer measurements of the radar backscatter of the ocean´s surface is addressed. The traditional wind estimation approach produces multiple estimates of the wind direction. A second processing step, known as dealiasing or ambiguity removal, is used to select a single wind estimate from these multiple solutions. Dealiasing is typically based on various ad hoc considerations. The traditional wind estimation approach results in multiple solutions associated with local minima in an objective function formed from the noisy backscatter measurements. The authors discuss the question of the uniqueness of the wind vector estimates resulting from this intuitive approach
  • Keywords
    atmospheric techniques; remote sensing by radar; wind; ambiguity removal; atmosphere; backscatter; dealiasing; identifiability; marine wind; measurement technique; ocean surface; radar remote sensing; scatterometer; uniqueness; wind estimation; wind vector; Backscatter; Geophysical measurements; Radar measurements; Radar remote sensing; Radar scattering; Sea measurements; Sea surface; Vectors; Velocity measurement; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.73668
  • Filename
    73668