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INFRARED SMALL TARGET DETECTION ALGORITHM BASED ON SELF-ADAPTIVE BACKGROUND FORECAST

  • Zhenxue Chen
  • Guoyou Wang
  • Jianguo Liu
  • Chengyun Liu
Article

Abstract

A background forecast filter is presented to detect a small target under an infrared (IR) nature scene. By calculating the correlation of image pixels, the background around the small target could be forecasted. Subtracting the forecast background from original scene, the small targets would become outstanding. Experimental results show that the algorithm proposed has better performance with respect to probability of detection and less computation complexity.

Keywords

small target detection background forecast adaptive real-time infrared image 

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References

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Zhenxue Chen
    • 1
  • Guoyou Wang
    • 1
  • Jianguo Liu
    • 1
  • Chengyun Liu
    • 2
  1. 1.Huazhong University of Science and TechnologyState education Commission Laboratory for Image Processing & Intelligence Control, Institute of Pattern Recognition & Artificial IntelligenceWuhanPeople’s Republic of China
  2. 2.Wuhan University of Science and TechnologyCollege of ScienceWuhanPeople’s Republic of China

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