• Title of article

    Joint estimation of moving target reflectivity and velocity via AT-InSAR systems based on complex interferometric data

  • Author/Authors

    Budillon، نويسنده , , Alessandra and Pascazio، نويسنده , , Vito and Schirinzi، نويسنده , , Gilda، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    1
  • To page
    10
  • Abstract
    In this paper a technique for the joint estimation of the complex reflectivity and of the radial velocity of ground moving targets, by means of Along-Track Interferometric Synthetic Aperture Radar (AT-InSAR) systems, is presented. It is essentially based on statistical estimation techniques and exploits the complex interferometric SAR images, contrarily to other conventional AT-InSAR methods, which estimate the target radial velocity exploiting only the interferometric phases. The performances of the method are evaluated both for single baseline and for dual-baseline satellite systems, in terms of Cramer Rao Lower Bounds and of Root Mean Square Errors obtained in numerical experiments, with reference to all the target parameters to be estimated, which are the amplitude and phase of the target reflectivity and the target radial velocity. It is shown that for single baseline systems the obtained radial velocity estimation accuracy is comparable with the one achievable with AT-InSAR methods exploiting phase-only data, and is very high for high values of signal to clutter ratio. For dual-baseline systems, instead, the use of amplitude and phase data allows a performance significantly better than the one achievable exploiting phase-only data. Moreover, in the dual baseline case, high velocity estimation accuracy can be obtained also with lower signal to clutter ratios.
  • Keywords
    Along-track interferometry , Velocity estimation , synthetic aperture radar
  • Journal title
    ISPRS Journal of Photogrammetry and Remote Sensing
  • Serial Year
    2013
  • Journal title
    ISPRS Journal of Photogrammetry and Remote Sensing
  • Record number

    2229108