• DocumentCode
    1245589
  • Title

    Two-dimensional signal processing techniques for airborne laser bathymetry

  • Author

    Wong, Henry C. ; Antoniou, Andreas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • Volume
    34
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    57
  • Lastpage
    66
  • Abstract
    The application of two-dimensional (2D) signal processing to data collected in airborne laser bathymetry is investigated. Specifically, a type of 2D filter for the suppression of impulsive noise in irregularly-spaced data based on order-statistics filtering is developed. An algorithm which incorporates this type of filter along with a sophisticated 2D interpolation technique is constructed to automate the filtering process. An adaptive 2D filtering technique that can be applied to raw bathymetric profiles to remove wideband noise is then discussed. The results obtained show that each type of filtering enhances the accuracy of bathymetric measurement quite significantly
  • Keywords
    adaptive signal processing; bathymetry; filters; geophysical signal processing; geophysical techniques; laser beam applications; oceanographic techniques; optical information processing; optical radar; remote sensing by laser beam; adaptive signal processing; airborne laser bathymetry; airborne lidar method; algorithm; filter; geophysical measurement technique; impulsive noise; interpolation; irregularly-spaced data; laser remote sensing; ocean; order-statistics filtering; sea coast; seafloor topography; suppression; two dimensional signal processing; wideband noise; Acoustic noise; Filtering; Filters; Geologic measurements; Laser noise; Oceanographic techniques; Oceans; Sea measurements; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.481893
  • Filename
    481893