Advertisement

The Performance of Small Support Spatial and Temporal Filters for Dim Point Target Detection in Infrared Image Sequences

  • Robert C. Warren
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 14)

Abstract

The effectiveness of small support spatial filters based on mean, median and morphological opening for the detection of scintillating ultra-dim stationary point targets in infrared IR image sequences has been investigated. The effectiveness of two temporal filters was also studied. A Bayesian track-beforedetect (TB D) algorithm was used to assess the results of the filters. The filters were applied to two IR image sequences; an aircraft approaching in an uncluttered background, and an aircraft receding in a bright cloudy background. The spatial filters were effective in detecting the target in the benign background, but neither the spatial nor one of the temporal filters were effective in the cluttered environment. A combination of absolute frame differencing and small support spatial filtering to correct for sensor motion was found to give sufficient increase in signal to clutter ratio to allow detection.

Keywords

Median Filter Spatial Filter Small Target Frame Difference Temporal Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Arce GR, McLoughlin MP (1987) Theoretical Analysis of the Max/Median Filter. IEEE Transactions on Acoustics, Speech and Signal Processing 35: 60–69Google Scholar
  2. 2.
    Deshpande SD, Er MH, Ronda V, Chan P (1999) Max-Mean and Max-Median filters for detection of small-targets. In: Drummond OE (ed) SPIE 3809 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 74–83Google Scholar
  3. 3.
    Li Z-Y, Shen Z-K (1994) Dim Point Target Detecting From Image Sequences. In: Drummond OE (ed) SPIE 2235 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 249–257Google Scholar
  4. 4.
    Melendez KA, Modestino JW (1995) Spatiotemporal multiscan adaptive matched filtering. In: Drummond OE (ed) SPIE 2561 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 51–65Google Scholar
  5. 5.
    New WL, Tan MH, Er MH, Ronda V (1999) New Method for Detection of Dim Point-Targets in Infrared Images. In: Drummond OE (ed) SPIE 3809 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 141–150Google Scholar
  6. 6.
    Ronda V, Er MH, Deshpande SD, Chan P (1999) Multi-mode algorithm for detection and tracking of point-targets. In: Masten MK, Stockum LA (eds) SPIE 3692 Acquisition Tracking and Pointing XIII. International Society for Optical Engineering, pp. 269–278Google Scholar
  7. 7.
    Ronda V, New WL, Tan MH, Er MH (2999) Adaptive threshold based spatio-temporal filtering techniques for detection of small targets. In: Drummond OE (ed) SPIE 4048 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 58–67Google Scholar
  8. 8.
    Soni T, Zeidler JR, Ku WH (1992) Adaptive Whitening Filters for Small Target Detection. In: Drummond OE (ed) SPIE 1698 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 21–31Google Scholar
  9. 9.
    Tartakovsky A, Blazek R (2000) Effective Adaptive Spatial-Temporal Technique for Clutter Rejection in IRST. In: Drummond OE (ed) SPIE 4048 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 85–95Google Scholar
  10. 10.
    Tzannes AP, Brooks DH (1999) Detection of Point Targets in Image Sequences by Hypothesis Testing: a Temporal First Approach. In: Proceedings 1999 International Conference on Acoustics, Speech and Signal Processing. pp. 3377–3380Google Scholar
  11. 11.
    Yang W-p, Shen Z-k, Li Z-y (1994) The Application of Difference Method to Dim Point Target Detection in Infrared Images. In: Proceedings of the IEEE National Aerospace and Electronics Conference. IEEE, pp. 133–136Google Scholar
  12. 12.
    Zhu Z, Liang H, Pan A, Song B, Xu G, Ni G (1999) Detection and Acquisition of Small Targets with Low Signal-to-clutter Ratio. In: Drummond OE (ed) SPIE 3809 Signal and Data Processing of Small Targets. International Society for Optical Engineering, pp. 564–569Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Robert C. Warren
    • 1
  1. 1.Weapons Systems DivisionAeronautical and Maritime Research Laboratory DSTOEdinburghAustralia

Personalised recommendations