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A Track Scoring Function Development for Airborne Target Detection Using Dynamic Programming

  • Received : 2011.05.01
  • Accepted : 2012.02.07
  • Published : 2012.03.30

Abstract

Track-before-detect techniques based on dynamic programming have provided solutions for detecting targets from a sequence of images. In its application to airborne threat detection, dynamic programming solutions should take into account the distinguishable properties of objects in a collision course. This paper describes the development of a new track scoring function that accumulates scores for airborne targets in Bayesian framework. Numerical results show that the proposed scoring function has slightly better detection capabilities.

Keywords

Dynamic programming;Airborne target detection;Track-before-detect

References

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