• DocumentCode
    539067
  • Title

    Fusion of low bit-depth images for battle damage indication

  • Author

    Ralph, J. ; Stocks, N.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univerity of Liverpool, Liverpool, UK
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper addresses the problem of extracting information from an infrared weapon seeker in the terminal phase of a guided weapon engagement. The challenge is to obtain enough information (in the form of images) immediately prior to impact to allow the impact point to be verified. The introduction of a radio data link onto a weapon allows information to be transmitted back to a remote operator, but this data link will have a limited data rate due to finite bandwidth and other operational restrictions. The main problems are that the impact will destroy the seeker and this is very likely to disrupt the transmission of the data back to the operator. Any latency, introduced by pre-processing, compression or encryption of the images, will have a significant effect on the information that can be extracted. This paper shows that low bit-depth images can be fused to reconstruct an image of the weapon´s impact point and that noise in the low-bit images increases the information content of the reconstructed images - an example of suprathreshold stochastic resonance.
  • Keywords
    image fusion; image reconstruction; military computing; stochastic processes; weapons; battle damage indication; guided weapon engagement; image reconstruction; information extraction; infrared weapon seeker; low bit-depth image fusion; radio data link; suprathreshold stochastic resonance; Image registration; Photonics; Pixel; Signal to noise ratio; Stochastic resonance; Weapons; Image fusion; image reconstruction; image registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2010 13th Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-9824438-1-1
  • Type

    conf

  • DOI
    10.1109/ICIF.2010.5711840
  • Filename
    5711840