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Journal of Electrical and Computer Engineering
Volume 2015 (2015), Article ID 923469, 9 pages
http://dx.doi.org/10.1155/2015/923469
Research Article

Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences

School of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, China

Received 28 June 2015; Revised 18 October 2015; Accepted 17 November 2015

Academic Editor: William Sandham

Copyright © 2015 Zhaohui Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. Yang, J. Ma, S. Qi, J. Tian, S. Zheng, and X. Tian, “Directional support value of Gaussian transformation for infrared small target detection,” Applied Optics, vol. 54, no. 9, pp. 2255–2265, 2015. View at Publisher · View at Google Scholar
  2. S. Kim and J. Lee, “Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track,” Pattern Recognition, vol. 45, no. 1, pp. 393–406, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Xie, T. Zhou, Y. Qiao, C. Ge, and J. Yang, “Learning to detect small target: a local kernel method,” Infrared Physics & Technology, vol. 69, pp. 7–12, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Zeng, J. Li, and Z. Peng, “The design of top-hat morphological filter and application to infrared target detection,” Infrared Physics & Technology, vol. 48, no. 1, pp. 67–76, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. X. Bai, F. Zhou, and T. Jin, “Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter,” Signal Processing, vol. 90, no. 5, pp. 1643–1654, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Kim, “Min-local-log filter for detecting small targets in cluttered background,” Electronics Letters, vol. 47, no. 2, pp. 105–106, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. M. M. Hadhoud and D. W. Thomas, “The two-dimensional adaptive LMS (TDLMS) algorithm,” IEEE Transactions on Circuits and Systems, vol. 35, no. 5, pp. 485–494, 1988. View at Publisher · View at Google Scholar · View at Scopus
  8. S. D. Deshpande, H. E. Meng, R. Venkateswarlu, and P. Chan, “Max-mean and max-median filters for detection of small targets,” in Signal and Data Processing of Small Targets, vol. 3809 of Proceedings of SPIE, pp. 74–83, Denver, Colo, USA, July 1999. View at Publisher · View at Google Scholar
  9. S.-G. Sun, “Target detection using local fuzzy thresholding and binary template matching in forward-looking infrared images,” Optical Engineering, vol. 46, no. 3, Article ID 036420, 2007. View at Google Scholar
  10. J. Silverman, J. M. Mooney, and C. E. Caefer, “Tracking point targets in cloud clutter,” in 10th Meeting on Optical Engineering in Israel, vol. 3110 of Proceedings of SPIE, pp. 496–507, Jerusalem, Israel, March 1997. View at Publisher · View at Google Scholar
  11. J. Silverman, J. M. Mooney, and C. E. Caefer, “Temporal filters for tracking weak slow point targets in evolving cloud clutter,” Infrared Physics & Technology, vol. 37, no. 6, pp. 695–710, 1996. View at Publisher · View at Google Scholar · View at Scopus
  12. C. E. Caefer, J. Silverman, J. M. Mooney, S. Disalvo, and R. W. Taylor, “Temporal filtering for point target detection in staring IR imagery: I. Damped sinusoid filters,” in Signal and Data Processing of Small Targets, vol. 3373 of Proceedings of SPIE, pp. 111–122, Orlando, Fla, USA, September 1998. View at Publisher · View at Google Scholar
  13. J. Silverman, C. E. Caefer, S. DiSalvo, and V. E. Vickers, “Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter,” in Signal and Data Processing of Small Targets, vol. 3373 of Proceedings of SPIE, pp. 44–53, Orlando, Fla, USA, April 1998. View at Publisher · View at Google Scholar
  14. A. P. Tzannes and D. H. Brooks, “Temporal filters for point target detection in IR imagery,” in Proceedings of the 23th Infrared Technology and Applications, vol. 3061 of Proceedings of SPIE, pp. 508–520, Orlando, Fla, USA, April 1997. View at Publisher · View at Google Scholar · View at Scopus
  15. A. P. Tzannes and D. H. Brooks, “Detecting small moving objects using temporal hypothesis testing,” IEEE Transactions on Aerospace and Electronic Systems, vol. 38, no. 2, pp. 570–586, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. A. P. Tzannes and D. H. Brooks, “Point target detection in IR image sequences: a hypothesis-testing approach based on target and clutter temporal profile modeling,” Optical Engineering, vol. 39, no. 8, pp. 2270–2278, 2000. View at Publisher · View at Google Scholar · View at Scopus
  17. E. T. Lim, L. Shue, and R. Venkarteswarlu, “Adaptive mean and variance filter for detection of dim point-like targets,” in Signal and data Processing of Small Targets, Proceedings of SPIE, pp. 492–502, April 2002. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Liu, J. Zhang, and W. Dong, “Temporal profile based small moving target detection algorithm in infrared image sequences,” International Journal of Infrared and Millimeter Waves, vol. 28, no. 5, pp. 373–381, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Gao, D. Meng, Y. Yang, Y. Wang, X. Zhou, and A. G. Hauptmann, “Infrared patch-image model for small target detection in a single image,” IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 4996–5009, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. Y. S. Jung and T. L. Song, “Aerial-target detection using the recursive temporal profile and spatiotemporal gradient pattern in infrared image sequences,” Optical Engineering, vol. 51, no. 6, Article ID 066401, 12 pages, 2012. View at Publisher · View at Google Scholar
  21. A. Akula, R. Ghosh, S. Kumar, and H. K. Sardana, “Moving target detection in thermal infrared imagery using spatiotemporal information,” Journal of the Optical Society of America A, vol. 30, no. 8, pp. 1492–1501, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. C. L. P. Chen, H. Li, Y. Wei, T. Xia, and Y. Y. Tang, “A local contrast method for small infrared target detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 574–581, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. S. Kim, S.-G. Sun, and K.-T. Kim, “Highly efficient supersonic small infrared target detection using temporal contrast filter,” Electronics Letters, vol. 50, no. 2, pp. 81–83, 2014. View at Publisher · View at Google Scholar · View at Scopus
  24. A. Mazzu, S. Chiappino, L. Marcenaro, and C. S. Regazzoni, “A switching fusion filter for dim point target tracking in infra-red video sequences,” in Proceedings of the 17th International Conference on Information Fusion (FUSION ’14), pp. 1–6, Salamanca, Spain, July 2014.