• DocumentCode
    2666712
  • Title

    Multibaseline POL-InSAR analysis of urban scenes for 3D modeling and physical feature retrieval at L-band

  • Author

    Sauer, Stefan ; Ferro-Famil, Laurent ; Reigber, Andreas ; Pottier, Eric

  • Author_Institution
    Rennes Univ. 1, Rennes
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1098
  • Lastpage
    1101
  • Abstract
    This paper generalizes a multibaseline interferometric SAR signal model taking polarization diversity into account. Based on this formulation, two high-performance spectral analysis techniques are extended to the multibaseline POL-InSAR configuration. These new algorithms enhance the height estimation of scatterers by calculating optimal polarization combinations and allow to determine their physical characteristics. Applying the methods to urban scenes, experimental results show the retrieval of building height and polarimetric properties by means of single-baseline polarimetric datasets. Dual-baseline observations permit the solution of the layover problem by separating two contributions within one resolution cell. The algorithms are tested using multibaseline Pol-InSAR data acquired by DLR´s E-SAR system over Dresden city.
  • Keywords
    cartography; geophysical techniques; radar interferometry; 3D modeling; Dresden city; L-band; building height; dual-baseline observations; height estimation; multibaseline POL-InSAR analysis; multibaseline interferometric SAR signal; optimal polarization combination; physical feature retrieval; polarization diversity; spectral analysis technique; urban scenes; Cities and towns; Covariance matrix; L-band; Layout; Maximum likelihood estimation; Multiple signal classification; Polarization; Scattering; Spectral analysis; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4422993
  • Filename
    4422993