• DocumentCode
    126263
  • Title

    Ship detection with RADARSAT-2 quad-pol SAR data using improved notch filter based on freeman decomposition

  • Author

    Jianhong Chen ; Yongjun Zhao ; Wei Liu

  • Author_Institution
    Inst. of Zheng Zhou Inf. Sci. & Technol., Zhengzhou, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Ploarimetric Synthetic Aperture Radar (POLSAR) provide more information of targets, advantages of which lays in its capability to acquire useful images with any-weather conditions and at night time. POLSAR image has been used to reconnaissance Ships and vessels. Specifically, this paper proposes an improved notch detector algorithm of ship with full polarimetric image. The methodology adopted the result of freeman decomposition instead of coherency matrix for constructing vector space of polarimetric targets. Furthermore, a factor related power is added to the detector in order to separate ships dominated by surface scattering mechanism form the sea. The proposed detector was tested with Radarsat-2 full polarimetric data and show significant agreement with the available sea truth. Comparing with SPAN, Polarimetric whitening filter and Polarimetric notch filter method, the proposed method enhance ship-sea contrast ratio and show higher detection ability.
  • Keywords
    matrix algebra; notch filters; radar imaging; ships; synthetic aperture radar; POLSAR image; Polarimetric whitening filter; RADARSAT-2 quad pol SAR data; coherency matrix; freeman decomposition; improved notch filter; polarimetric synthetic aperture radar; polarimetric targets; reconnaissance ships; reconnaissance vessels; sea surface scattering mechanism; ship detection; ship notch detector algorithm; Detectors; Filtering algorithms; Marine vehicles; Matrix decomposition; Scattering; Sea surface; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929629
  • Filename
    6929629