• DocumentCode
    966293
  • Title

    Maximum a posteriori estimation of height profiles in InSAR imaging

  • Author

    Ferraiuolo, Giancarlo ; Pascazio, Vito ; Schirinzi, Gilda

  • Author_Institution
    Dipt. di Ingegneria Elettronica e delle Telecomunicazioni, Univ. di Napoli "Federico II", Naples, Italy
  • Volume
    1
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    We present a statistical method to solve the height estimation problem in interferometric synthetic aperture radar (InSAR) applications. It is based on the use of multifrequency SAR raw datasets obtained by partitioning in subbands the available raw data spectrum, and on a Bayesian estimator using Markov random fields to model the a priori distribution of the unknown images. The method allows recovering topographic profiles affected by strong height discontinuities and allows to perform efficient noise rejections.
  • Keywords
    geophysical techniques; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; topography (Earth); Bayesian estimator; InSAR imaging; Markov random fields; interferometric synthetic aperture radar; multifrequency SAR; noise rejections; partitioning; posteriori estimation; priori distribution; statistical method; topographic profiles; Bayesian methods; Image reconstruction; Lattices; Markov random fields; Maximum a posteriori estimation; Maximum likelihood estimation; Radar imaging; Statistical analysis; Synthetic aperture radar; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2003.822882
  • Filename
    1291383