Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Template Matching-Based Target Recognition Algorithm Development and Verification using SAR Images

SAR 영상을 이용한 템플릿 매칭 기반 자동식별 알고리즘 구현 및 성능시험

  • Lim, Ho (The 3rd Research and Development Institute, Agency for Defense Development) ;
  • Chae, Daeyoung (The 3rd Research and Development Institute, Agency for Defense Development) ;
  • Yoo, Ji Hee (The 3rd Research and Development Institute, Agency for Defense Development) ;
  • Kwon, Kyung-Il (The 3rd Research and Development Institute, Agency for Defense Development)
  • 임호 (국방과학연구소 제3기술연구본부) ;
  • 채대영 (국방과학연구소 제3기술연구본부) ;
  • 유지희 (국방과학연구소 제3기술연구본부) ;
  • 권경일 (국방과학연구소 제3기술연구본부)
  • Received : 2014.01.02
  • Accepted : 2014.05.16
  • Published : 2014.06.05
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Abstract

In this paper, we have developed a target recognition algorithm based on a template matching technique using Synthetic Aperture Radar (SAR) images. For efficient computations, Radon transform-based azimuth estimation algorithm was used with the template matching. MSTAR data set was divided into two groups according to the depression angles, which were a train set and a test set. Template data were generated by rotating and cropping chips which were from MSTAR train set using the azimuth estimation algorithm. Then the template matching process between test data and template data was performed under various conditions. Performance variation according to contrast enhancement preprocessing which is scarce in open literature was also presented. The analysis results show that the target recognition algorithm could be useful for the automatic target recognition using SAR images.

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References

  1. L. M. Novak, G. J. Owirka, W. S. Brower, and A. L. Weaver, "The Automatic Target-Recognition System in SAIP," The Lincoln Laboratory Journal, Vol. 10, No. 2, pp. 187-202, 1997.
  2. M. Cetin, W. C. Karl, and D. A. Castanon, "Analysis of the Impact of Feature-Enhanced SAR Imaging on ATR Performance," Proc. SPIE in Algorithms for Synthetic Aperture Radar Imagery, 4727, pp. 134-145, 2002.
  3. L. M. Novak, G. J. Owirka, C. M. Netishen, "Performance of a High-Resolution Polarimetric SAR Automatic Target Recognition System," The Lincoln Laboratory Journal, Vol. 6, No. 1, pp. 11-24, 1993.
  4. L. M. Novak, G. J. Owirka, A. L. Weaver, "Automatic Target Recognition using Enhanced Resolution SAR Data," IEEE Transactions on Aerospace and Electronic Systems, Vol. 35, No. 1, pp. 157-175, 1999. https://doi.org/10.1109/7.745689
  5. G. J. Owirka, A. L. Weaver, L. M. Novak, "Performance of a Multi-Resolution Classifier using Enhanced Resolution SAR Data," Proc. of SPIE in Radar Sensor Technology II, Vol. 3066, pp. 90-100, 1997.
  6. L. M. Novak, and G. J. Owirka, "Performance of 10- and 20-Target MSE Classifiers," IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, No. 4, pp. 1279-1289, 2000. https://doi.org/10.1109/7.892675
  7. L. M. Novak, G. J. Owirka and C. M. Netishen, "Radar Target Identification using Spatical Matched Filters," Pattern Recognition, Vol. 27, pp. 607-617, 1994. https://doi.org/10.1016/0031-3203(94)90040-X
  8. SAR 영상에서의 표적식별기법연구 최종보고서, 다목적실용위성 5호기 개발 사업, 인하대학교, 국방과학연구소, 2008.
  9. Y. Sun, Z. Liu, S. Todorovic and J. Li, "Adaptive Boosting for SAR Automatic Target Recognition," IEEE Transactions on Aerospace and Electronic Systems, Vol. 43, No. 1, pp. 112-125, 2007. https://doi.org/10.1109/TAES.2007.357120
  10. 박종일, 김경태, "SAR 영상을 이용한 자동 표적 식별 기법에 대한 연구," 한국전자파학회논문지, pp. 1063-1069, 2011. https://doi.org/10.5515/KJKIEES.2011.22.11.1063
  11. L. Yi-Bo, Z. Chang, W. Ning, "A Survery on Feature Extraction of SAR Images," International Conference on Computer Applications and System Modeling, pp. 312-317, 2010.
  12. G. Jones III and B. Bhanu, "Recognition of Articulated Objects in SAR Images," In Proceedings of the ARPA Image Understanding Workshop, pp. 1237-1250, 1996.
  13. I. V. Liviu, P. Ron, R. M. Harley, "Multi-Criterion Vechicle Pose Estimation for SAR ATR," Proc. SPIE in Algorithms for Synthetic Aperture Radar Imagery, pp. 497-506, 1999.
  14. L. Su-dan, L. Guang-xia, Z. Cui, "A Synthetical Aspect Estimate Method for SAR Targets," Signal Processing, Vol. 19, No. 5, pp. 473-477, 2003.
  15. R. A. English, S. J. Rawlinson and N. M. Sandirasegaram, "Development of an ATR Workbench for SAR Imagery," Defence R&D Canada - Ottawa, Technical Report, 2002.
  16. J. A. O'sullivan, M. D. Devore, V. Kedia and M. I. Miller, "SAR ATR Performance using a Conditionally Gaussian Model," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 91-108, 2001. https://doi.org/10.1109/7.913670
  17. L. M. Novak, S. D. Halversen, G. J. Owirka, and M. Hiett, "Effects of Polarization and Resolution on the Performance of a SAR ATR System," The Lincoln Laboratory Journal, Vol. 8, No.1, pp. 49-68, 1995.
  18. Zuiderveld, Karel, "Contrast Limited Adaptive Histograph Equalization," Graphic Gems IV, San Diego: Academic Press Professional, pp. 474-485, 1994.