• DocumentCode
    513248
  • Title

    Multiple scatterers identification in complex scenarios with adaptive differential tomography

  • Author

    Lombardini, Fabrizio ; Pardini, Matteo

  • Author_Institution
    Dept. of Inf. Enginering, Univ. of Pisa, Pisa, Italy
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    In the last few years, the interest is increasing in the interferometric processing of multibaseline/multitemporal SAR data from complex urban or infrastructure areas. In order to locate and monitor a high number of ground structures with the lowest signal misinterpretation, the identification, i.e. the detection and height and deformation velocity estimation, of both single and multiple layover scatterers is an important step. This issue is addressed here by extensively experimenting the technique of adaptive differential tomography, a recent interferometric framework which allows to resolve multiple moving scatterers at different heights in the same SAR cell. To this aim, adaptive differential tomography is augmented with an automated information extraction algorithm. The technique has been applied to real C-band spaceborne data over an urban area. Corresponding results are discussed.
  • Keywords
    geophysical signal processing; radar interferometry; synthetic aperture radar; tomography; C-band spaceborne data; adaptive differential tomography; automated information extraction algorithm; complex scenarios; interferometric processing; multidimensional signal processing; multiple layover scatterers; multiple scatterers identification; signal detection; synthetic aperture radar; urban area; velocity estimation; Data mining; Decorrelation; Detection algorithms; Monitoring; Radar scattering; Rayleigh scattering; Signal resolution; Synthetic aperture radar interferometry; Tomography; Urban areas; SAR; detection; differential interferometry; multidimensional signal processing; tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417919
  • Filename
    5417919