• DocumentCode
    2450424
  • Title

    Accuracy improvement method of forest height estimation for PolInSARImage

  • Author

    Minh, Nghia Pham ; Zou, Bin ; Lu, Da

  • Author_Institution
    Harbin Institude of Technol., Harbin, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    594
  • Lastpage
    598
  • Abstract
    Polarimetric SAR interferometry (Pol-InSAR) is a radar remote sensing technique, that allows to extract forest heights by means of model-based inversion. Recently, there have been plenty of research on the retrieval of vegetation parameters by single frequency single baseline PolInSAR such as the ESPRIT method, three-stage inversion. However, these methods tend to underestimate the forest height due to attenutation of the electromagnetic waves in the ground medium. This paper proposes a method to improve the accuracy of forest height estimation. This method is based on a fusion of hybrid method extracting forest parameters and the coherence amplitude method. Finally, the simulated PolInSAR data are used to validate the proposed method.
  • Keywords
    feature extraction; forestry; image fusion; radar imaging; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; ESPRIT method; coherence amplitude method; electromagnetic wave attenuation; forest height estimation; forest height extraction; ground medium; hybrid method extracting forest parameter fusion; model-based inversion; polarimetric sar interferometry; radar remote sensing technique; single frequency single baseline pol-InSAR image; three-stage inversion; vegetation parameter retrieval; Accuracy; Coherence; Estimation; Interferometry; Least squares approximation; Synthetic aperture radar; ESPRIT; PolInSAR; coherence amplitude method; forest height estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376686
  • Filename
    6376686