Analysis on the Difficulties of Detecting Infrared Image of the Unconventional Targets

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 155)

Abstract

The theoretical analysis on unconventional targets has a high study value on both sides of attack and warning on the naval battlefield. In this paper, based on the introduction of the military value of head-on target with the strongest damage, the physical exercise trait and infrared imaging features of the Head-on targets were analyzed; some difficulties and reasons up to its effective testing were summarized; the research point of single frame detecting and many frames tracking to unconventional targets among Infrared images, which provides reference for research on the detection and tracking algorithm of unconventional targets under the complicated background.

Keywords

Image processing infrared image head-on target target detection 

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References

  1. 1.
    Luo, J., Ji, H., Liu, J.: ’Yi Tian’ Air-Defense Missile Weapon System. Weapon Knowledge (5), 23–26 (2009)Google Scholar
  2. 2.
    He, B., Zhang, J.: Active Missiles Approaching Alarm Preliminary Technology Research. Journal of Electronic Information Counter Technology 23(5), 39–43 (2008)Google Scholar
  3. 3.
    Wen, D.: Air-to-Air Missile also Anti-Missile. Journal of Military Air Defense (2), 16–19 (2008)Google Scholar
  4. 4.
    Zhang, M.: “Know True Air-to-Air Missile (a) Air-to-Air Missile’s Actual Efficiency and Operating Limit”. Aviation Archives (6), 42–53 (2007)Google Scholar
  5. 5.
    Liu, H.: Air-to-Air Missile Taiwan (Region) Air Force is Equipped with. The World Air Equipment (3), 46–50 (2007)Google Scholar
  6. 6.
    Li, L.: China’s “Yi Tian” Air Defense Missile Systems. Modern Military (5), 10–12 (2009)Google Scholar
  7. 7.
    Wang, L., Wang, J.: An Algorithm of Adjacent Frame Matching Used for Head-on Point Targets Tracking. Journal of Optical Journal 29(11), 3004–3009 (2009)Google Scholar
  8. 8.
    Wang, L., Wang, J.: An Algorithm of Multiple Matches between Sequence Frame of Tracking Infrared Point Target. Photoelectron Laser 21(3), 465–469 (2010)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Academy of Electronic EngineeringNaval University of EngineeringWuhanChina

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