• DocumentCode
    2979930
  • Title

    CASpatch: A SAR image simulation code to support ATR applications

  • Author

    Zhang, Rui ; Hong, Jun ; Ming, Feng

  • Author_Institution
    Key Lab. of Spatial Inf. Process. & Applic. Syst. Technol., CAS, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    In this paper, A SAR image simulation code of 3D complex targets named CASpatch is introduced. This code is based on the high frequency technique of shooting and bouncing rays (SBR). The original purpose to design the code is for SAR automatic target recognition (ATR) applications, but it can also be used for RCS prediction and high resolution range profile (HRRP) generation. A GB-SAR indoor experiment is used to validate the CASpatch system. The simulation results of complex targets show that high resolution, full polarimetry and wide bandwidth SAR images can be obtained via CASpatch, which means our code can support multiple SAR ATR applications. What´s more, an improved PolSAR ATR algorithm is also proposed in this paper. The full PolSAR ATR experiment based on simulated data is firstly reported in this paper, and higher recognition rate is achieved comparing with the single PolSAR result.
  • Keywords
    object recognition; radar computing; radar imaging; synthetic aperture radar; 3D complex targets; ATR applications; CASpatch system; HRRP generation; PolSAR ATR algorithm; RCS prediction; SAR image simulation code; automatic target recognition; high-resolution range profile; shooting-bouncing rays; synthetic aperture radar; Bandwidth; Content addressable storage; Frequency; Image resolution; Information processing; Laboratories; Optical scattering; Polarimetry; Target recognition; Target tracking; CASpatch; PolSAR ATR; SAR Image Simulation; SBR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374122
  • Filename
    5374122