• DocumentCode
    2550865
  • Title

    Use of Imaging Probability Function to Reduce Ghost Image

  • Author

    Hu, Yong-Zhong ; Li, Ting-Jun ; Zhou, Zheng-Ou

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    Through the wall imaging (TWI) is a difficult but important task for both law enforcement and military missions. Getting information on both the internal features of a structure and the location of people inside is playing an important role in many fields such as anti-terrorism, search and rescue hostage, and barricade situations. Up to now, many researchers have developed diverse experimental systems, most of which are based on linear antenna array to get the image of objects. However, the backward projection (BP) algorithm based on ellipse curves usually generates additional ghost images. In this paper, the algorithm using the imaging probability function (IPF) to reduce the ghost images is proposed and simulated. The results of simulation show that this approach is feasible.
  • Keywords
    curve fitting; image processing; linear antenna arrays; probability; anti-terrorism; backward projection algorithm; barricade situations; diverse experimental systems; ellipse curves; ghost image; imaging probability function; law enforcement; linear antenna array; military missions; search and rescue hostage; through the wall imaging; Aperture antennas; Attenuation; Electronic mail; Image reconstruction; Linear antenna arrays; Microwave imaging; Radar antennas; Radar imaging; Radar scattering; Receiving antennas; BP imaging algorithm; ghost image; imaging probability function; linear antenna array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3427-5
  • Electronic_ISBN
    978-1-4244-3426-8
  • Type

    conf

  • DOI
    10.1109/ICACIA.2008.4770001
  • Filename
    4770001