• DocumentCode
    772982
  • Title

    Characterization and decomposition of waveforms for Larsen 500 airborne system

  • Author

    Wong, H. ; Antoniou, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • Volume
    29
  • Issue
    6
  • fYear
    1991
  • fDate
    11/1/1991 12:00:00 AM
  • Firstpage
    912
  • Lastpage
    921
  • Abstract
    The authors describe a method of accurately decomposing a Larsen waveform into the surface and bottom reflections, independently of the degree of their overlap. A mathematical model that can be used to characterize the Larsen waveforms received under diverse circumstances is established. This model is used in conjunction with an optimization technique to facilitate the decomposition of each Larsen waveform into surface and bottom reflections. The optimized parameters of the mathematical model are used to give sea depth estimates. The resolution of Larsen waveforms into two separate components by means of this technique offers two important advantages. First, sea depths can be readily determined from the displacement between the two components without human intervention, that is, the processing can be automated. Second, fairly accurate sea depths can be deduced even in cases where the two reflections strongly overlap
  • Keywords
    bathymetry; computerised picture processing; geophysics computing; oceanographic techniques; optical radar; remote sensing by laser beam; Larsen 500 airborne system; bottom reflections; decomposition of waveforms; optimization; remote sensing; sea depth estimates; surface reflection; waveform characterisation; Aircraft; Humans; Mathematical model; Oceanographic techniques; Oceans; Optical pulses; Optical reflection; Reflection; Remote sensing; Sea measurements; Sea surface; Surface waves;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.101370
  • Filename
    101370