• DocumentCode
    144384
  • Title

    Sea clutter statistical characterization using TerraSAR-X data

  • Author

    Makhoul, Eduardo ; Yu Zhan ; Broquetas, Antoni ; Ruiz-Rodon, Josep ; Baumgartner, Stefan

  • Author_Institution
    Signal Theor. & Commun. Dept., Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    5130
  • Lastpage
    5133
  • Abstract
    The paper presents a preliminary statistical evaluation of the sea clutter returns imaged by a spaceborne synthetic aperture radar (SAR) mission as TerraSAR-X. Two polarimetric data takes, Dual-polarized (Dual-Pol) and Quad-polarized (Quad-Pol), covering the range of incidence angles from 30 to 32 degrees, are considered for the stochastic characterization. The results show that the K-distribution, extendedly assumed statistics for high resolution radar sea clutter imaging, fits well the data´s amplitude. This information jointly with the inverted sea spectrum are used to simulate SAR images of realistic scenarios that can be exploited for proper performance evaluation of ground moving target indication (GMTI) techniques and missions for maritime surveillance.
  • Keywords
    object detection; spaceborne radar; statistical analysis; synthetic aperture radar; GMTI mission; GMTI technique; K-distribution; SAR image simulation; TerraSAR-X data; data amplitude; dual-polarized data; extendedly assumed statistics; ground moving target indication mission; ground moving target indication technique; high resolution radar sea clutter imaging; incidence angle range; inverted sea spectrum; maritime surveillance; polarimetric data; preliminary statistical evaluation; quad-polarized data; realistic scenario; sea clutter return; sea clutter statistical characterization; spaceborne SAR mission; spaceborne synthetic aperture radar mission; stochastic characterization; Clutter; Radar clutter; Radar imaging; Shape; Spaceborne radar; Synthetic aperture radar; sea clutter; simulation; spaceborne synthetic aperture radar (SAR); statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947652
  • Filename
    6947652