• DocumentCode
    535191
  • Title

    A novel spatial algorithm for PMMW single-frame target detection

  • Author

    Yang, Hong ; Hu, Fei

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol. (HUST), Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    596
  • Lastpage
    599
  • Abstract
    To detect small targets from passive millimeter wave (PMMW) images, a spatial filter algorithm based on dualistic taylor series is proposed for background suppression. First, a linear model is used to represent each pixel of a PMMW image. Secondly, target detection is performed on local regions in PMMW images by the spatial filter algorithm and the constant false alarm rate (CFAR) detector. The spatial filter algorithm uses a pedestrian detection module to suppress background. The CFAR detector is used to afford a threshold, with its help targets can be extracted. Simulation results show that the proposed method performs well for PMMW small target detection.
  • Keywords
    image representation; millimetre wave imaging; object detection; spatial filters; background suppression; constant false alarm rate detector; dualistic Taylor series; linear model; passive millimeter wave image; pedestrian detection module; pixel representation; single-frame target detection; spatial filter algorithm; Detectors; Noise; Object detection; Optical filters; Pixel; Spatial filters; CFAR; PMMW; small target detection; spatial filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647258
  • Filename
    5647258