• DocumentCode
    3690934
  • Title

    Statistical characterization of clutter decorrelation for medium and long integration time imaging

  • Author

    Antonio Leanza;Andrea Monti Guarnieri;Andrea Recchia;Antoni Broquetas Ibars

  • Author_Institution
    Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4280
  • Lastpage
    4283
  • Abstract
    This paper presents the results of a RADAR experiment aimed to assess and eventually complement the Internal Clutter Motion model (ICM) provided by Billingsley, for medium and long integration time SAR imaging. Employing a real-aperture rotating antenna ground-based RADAR, rural areas have been observed in different periods of the year according to two different modes, properly designed to obtain short-term and long-term clutter de-correlation analysis. The results showed interesting aspects of the phenomenon. In particular a non-stationary behavior with time, say from minutes to hours, and a day/night characteristic. Furthermore, the experiment showed how, for a long integration time, the model parameters are different from the ones foreseen by Billingsley.
  • Keywords
    "Clutter","Radar imaging","Synthetic aperture radar","Radar antennas","Radar clutter","Coherence"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326772
  • Filename
    7326772