Dim Target Detection in Infrared Image Sequences Using Accumulated Information

  • Wei He
  • Li Zhang

Abstract

The targets in infrared images are usually dim and small, buried under heavy clutter and noise. Recognition of such targets is a challenging task, especially in detecting in real-time and low false rate. In this paper, we present a new target detection scheme based on accumulated information, and a neural network structure to realize this method is also introduced. Computer simulation was carried out and the satisfactory result showed substantial reduction in computational complexity.

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References

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Copyright information

© Springer 2007

Authors and Affiliations

  • Wei He
    • 1
  • Li Zhang
    • 1
  1. 1.Department of Electronic EngineeringTsinghua UniversityBeijing

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