volume | PIER Journals

Abstract

In this paper, a new hybrid classification method using both range profile (RP) and time-frequency image is proposed. The time-frequency image is obtained using the short-time Fourier transform before calculating the RP and this image is used for classification. 2-Dimensional Principal Components Analysis (2DPCA) is used to further compress the time-frequency image and to derive useful features from the image. The proposed method achieves a higher correct classification ratio than existing methods, especially when the signal-to-noise ratio is low.

1. Park, S. H., K. K. Park, J. H. Jung, H. T. Kim, and K. T. Kim, "Construction of training database based on high frequency RCS prediction method for ATR," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 56, 693-703, 2008.
doi:10.1163/156939308784159390 Google Scholar

2. Jung, J. H., K. T. Kim, and H. T. Kim, "Comparisons of four feature extraction approaches based on fishers linear discriminant criterion in radar target recognition," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 2, 251-265, Jan. 2007.
doi:10.1163/156939307779378781 Google Scholar

3. Lee, K.-C., C.-W. Huang, and M.-C. Fang, "Radar target recognition by projected features of frequency-diversity RCS," Progress In Electromagnetics Research, Vol. 81, 121-133, 2008.
doi:10.2528/PIER08010206 Google Scholar

4. Choi, I. S., D. K. Seo, J. K. Bang, H. T. Kim, and E. J. Rothwell, "Radar target recognition using one-dimensional evolutionary programming-based CLEAN," Journal of Electromagnetic Waves and Applications, Vol. 39, No. 1, 763-784, Apr. 2003.
doi:10.1163/156939303322226464 Google Scholar

5. Jacobs, S. P. and J. A. O'Sullivan, "Automatic target recognition using sequences of high resolution radar range-profiles," IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, 364-381, 2000.
doi:10.1109/7.845214 Google Scholar

6. Wong, S. K., "High range resolution profiles as motion-invariant features for moving ground targets identification in SAR-based automatic target recognition," IEEE Transactions on Aerospace and Electronic Systems, Vol. 45, 1017-1039, 2009.
doi:10.1109/TAES.2009.5259180 Google Scholar

7. Guo, K. Y. and X. Q. Sheng, "A precise recognition approach of ballistic missile warhead and decoy," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 14-15, 1867-1875, 2009.
doi:10.1163/156939309789932377 Google Scholar

8. Chen, K. M., D. P. Nyquist, E. J. Rothwell, L. L. Webb, and B. Drachman, "Radar target discrimination by convolution of radar returns with extinction pulses and single-mode extraction signals," IEEE Transactions on Antennas and Propagation, Vol. 34, 896-904, Jul. 1986. Google Scholar

9. Li, H. J. and S. H. Yang, "Using range profiles as feature vectors to identify aerospace objects," IEEE Transactions on Antennas and Propagation, Vol. 41, 261-268, Mar. 1993.
doi:10.1109/8.233138 Google Scholar

10. Kim, B.-C., K.-K. Park, and H.-T. Kim, "Efficient RCS prediction method using angular division algorithm," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 1, 65-74, 2009.
doi:10.1163/156939309787604625 Google Scholar

11. Kim, K. T., D. K. Seo, and H. T. Kim, "Efficient radar target recognition using the MUSIC algorithm and invariant features," IEEE Transactions on Antennas and Propagation, Vol. 50, 325-337, Mar. 2002. Google Scholar

12. Wang, Y. and H. Ling, "Efficient radar signature prediction using a frequency-aspect interpolation technique based on adaptive feature extraction," IEEE Transactions on Antennas and Propagation, Vol. 50, 122-131, Feb. 2002.
doi:10.1109/8.997980 Google Scholar

13. Yavuz, M. E. and F. L. Teixeira, "Space frequency ultrawideband time-reversal imaging," IEEE Trans. Geosci. Remote Sens., Vol. 46, No. 4, 1115-1124, 2008.
doi:10.1109/TGRS.2008.915755 Google Scholar

14. Choi, G. G., S. H. Park, H. T. Kim, and K. T. Kim, "ISAR imaging of multiple targets based on particle swarm optimization and hough transform," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 14-15, 1825-1834, 2009.
doi:10.1163/156939309789932322 Google Scholar

15. Park, S. H., K. K. Park, J. H. Jung, H. T. Kim, and K. T. Kim, "ISAR imaging of multiple targets using edge detection and Hough transform," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 2-3, 365-373, 2008.
doi:10.1163/156939308784160622 Google Scholar

16. Park, S.-H., H.-T. Kim, and K.-T. Kim, "Stepped-frequency isar motion compensation using particle swarm optimization with an island model," Progress In Electromagnetics Research, Vol. 85, 25-37, 2008.
doi:10.2528/PIER08082107 Google Scholar

17. Kim, K. T., I. S. Choi, and H. T. Kim, "Efficient radar target classification using adaptive joint time-frequency processing," IEEE Transactions on Antennas and Propagation, Vol. 48, 1789-1801, 2000. Google Scholar

18. Yang, J., D. Zhang, A. F. Frangi, and J.-Y. Yang, "Two-dimensional PCA: A new approach to appearance-based face representation and recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 26, 131-137, Jan. 2004.
doi:10.1109/TPAMI.2004.1261097 Google Scholar

19. Qian, S., Time-freqency and Wavelet Transforms, Prentice Hall PTR, 2002.

Dr. Seung-Ku Han

Dr. Hyo-Tae Kim

Prof. Sang-Hong Park

Prof. Kyung-Tae Kim