• DocumentCode
    484328
  • Title

    A Two-Stage Approach for Decomposition of ICESat Waveforms

  • Author

    Jung, Jinha ; Crawford, Melba M.

  • Author_Institution
    Lab. for Applic. of Remote Sensing & Sch. of Civil Eng., Purdue Univ., Lafayette, IN
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Decomposing a waveform into distinct components by fitting a mixture of Gaussians impacts the ultimate interpretation of the return waveform, because the resulting parameter estimates of the Gaussian mixture directly affect the understanding of vertical structure within laser footprints. Decomposing the waveform into a mixture of Gaussians involves two related problems; (1) determining the number of Gaussian components in the waveform, and (2) estimating the parameters of each Gaussian component of the mixture. In this study, a two-stage approach is proposed and applied over three areas with different land cover characteristics. Experimental results indicate that the proposed two-stage approach typically fits Gaussian mixtures over received waveforms using fewer components, while the SSE value is smaller than that of the corresponding NASA GLA14 product.
  • Keywords
    geophysical signal processing; geophysical techniques; remote sensing; vegetation; Gaussian components; Gaussian impacts mixture; ICESat waveforms decomposition; NASA GLA14 product; SSE value; land cover characteristics; laser footprints; return waveform interpretation; two-stage approach; Civil engineering; Drives; Gaussian distribution; Gaussian processes; Laboratories; Laser radar; Least squares methods; NASA; Parameter estimation; Remote sensing; Gaussian mixture; LIDAR; waveform decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779439
  • Filename
    4779439