• DocumentCode
    2208589
  • Title

    Two-point statistic of polarimetric sar data provided by a wavelet frame

  • Author

    De Grandi, G.F. ; Lucas, R.M. ; Bouvet, A.

  • Author_Institution
    Eur. Comm. Joint Res. Center, Ispra, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1433
  • Lastpage
    1436
  • Abstract
    The spatial correlation properties of the backscattered power in polarimetric SAR data are characterized by means of a two-point statistic provided by a wavelet frame that acts as a differential operator. In particular, the dependence of this statistic on a rotation of the linear polarization basis is considered. On the one hand, a theoretical model is proposed, which enables the numerical simulation of the wavelet variance of the crosspol and copol power synthesized in the rotated basis, given the power spectra of the feature vector in the H,V basis. On the other hand, experimental analysis of polarimetric SAR data is undertaken using wavelet variance estimates as a function of scale and polarization state. Results are encapsulated in a graphical form called the wavelet scaling polarimetric signature (WASPS).
  • Keywords
    backscatter; electromagnetic wave polarisation; radar polarimetry; synthetic aperture radar; wavelet transforms; H,V basis; WASPS; backscattered power; copol power synthesis; crosspol; feature vector; linear polarization rotation; numerical simulation; polarimetric SAR data; power spectra; spatial correlation properties; two-point statistic; wavelet frame; wavelet scaling polarimetric signature; wavelet variance estimation; Azimuth; Correlation; Spectral analysis; Synthetic aperture radar; Vectors; Wavelet analysis; Wavelet transforms; SAR; Two-point statistic; polarimetry; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351266
  • Filename
    6351266