• DocumentCode
    1069184
  • Title

    Layover Solution in SAR Imaging: A Statistical Approach

  • Author

    Baselice, Fabio ; Budillon, Alessandra ; Ferraioli, Giampaolo ; Pascazio, Vito

  • Author_Institution
    Dipt. per le Tecnol., Univ. di Napoli Parthenope, Naples
  • Volume
    6
  • Issue
    3
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    577
  • Lastpage
    581
  • Abstract
    In this letter, a statistical-based approach to recover layover solution in synthetic aperture radar (SAR) images is proposed. The aim of this letter is to develop a methodology in order to separate different scattering contributions collapsed in a single SAR image pixel. After a brief discussion about layover, the proposed model is presented, followed by a discussion about achievable performances using Cramer-Rao lower bounds. In the final part of this letter, the performances of a maximum likelihood estimator are evaluated in a simulated data scenario, showing the effectiveness of the method.
  • Keywords
    maximum likelihood estimation; radar imaging; synthetic aperture radar; Cramer-Rao lower bounds; SAR imaging; maximum likelihood estimator; statistical-based approach; synthetic aperture radar; Layover; SAR interferometry; statistical signal processing; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2021489
  • Filename
    5071272