Search search
submit Submit
Publication Date
to
Vol. 133
Latest Volume
All Volumes
PIER 180 [2024] PIER 179 [2024] PIER 178 [2023] PIER 177 [2023] PIER 176 [2023] PIER 175 [2022] PIER 174 [2022] PIER 173 [2022] PIER 172 [2021] PIER 171 [2021] PIER 170 [2021] PIER 169 [2020] PIER 168 [2020] PIER 167 [2020] PIER 166 [2019] PIER 165 [2019] PIER 164 [2019] PIER 163 [2018] PIER 162 [2018] PIER 161 [2018] PIER 160 [2017] PIER 159 [2017] PIER 158 [2017] PIER 157 [2016] PIER 156 [2016] PIER 155 [2016] PIER 154 [2015] PIER 153 [2015] PIER 152 [2015] PIER 151 [2015] PIER 150 [2015] PIER 149 [2014] PIER 148 [2014] PIER 147 [2014] PIER 146 [2014] PIER 145 [2014] PIER 144 [2014] PIER 143 [2013] PIER 142 [2013] PIER 141 [2013] PIER 140 [2013] PIER 139 [2013] PIER 138 [2013] PIER 137 [2013] PIER 136 [2013] PIER 135 [2013] PIER 134 [2013] PIER 133 [2013] PIER 132 [2012] PIER 131 [2012] PIER 130 [2012] PIER 129 [2012] PIER 128 [2012] PIER 127 [2012] PIER 126 [2012] PIER 125 [2012] PIER 124 [2012] PIER 123 [2012] PIER 122 [2012] PIER 121 [2011] PIER 120 [2011] PIER 119 [2011] PIER 118 [2011] PIER 117 [2011] PIER 116 [2011] PIER 115 [2011] PIER 114 [2011] PIER 113 [2011] PIER 112 [2011] PIER 111 [2011] PIER 110 [2010] PIER 109 [2010] PIER 108 [2010] PIER 107 [2010] PIER 106 [2010] PIER 105 [2010] PIER 104 [2010] PIER 103 [2010] PIER 102 [2010] PIER 101 [2010] PIER 100 [2010] PIER 99 [2009] PIER 98 [2009] PIER 97 [2009] PIER 96 [2009] PIER 95 [2009] PIER 94 [2009] PIER 93 [2009] PIER 92 [2009] PIER 91 [2009] PIER 90 [2009] PIER 89 [2009] PIER 88 [2008] PIER 87 [2008] PIER 86 [2008] PIER 85 [2008] PIER 84 [2008] PIER 83 [2008] PIER 82 [2008] PIER 81 [2008] PIER 80 [2008] PIER 79 [2008] PIER 78 [2008] PIER 77 [2007] PIER 76 [2007] PIER 75 [2007] PIER 74 [2007] PIER 73 [2007] PIER 72 [2007] PIER 71 [2007] PIER 70 [2007] PIER 69 [2007] PIER 68 [2007] PIER 67 [2007] PIER 66 [2006] PIER 65 [2006] PIER 64 [2006] PIER 63 [2006] PIER 62 [2006] PIER 61 [2006] PIER 60 [2006] PIER 59 [2006] PIER 58 [2006] PIER 57 [2006] PIER 56 [2006] PIER 55 [2005] PIER 54 [2005] PIER 53 [2005] PIER 52 [2005] PIER 51 [2005] PIER 50 [2005] PIER 49 [2004] PIER 48 [2004] PIER 47 [2004] PIER 46 [2004] PIER 45 [2004] PIER 44 [2004] PIER 43 [2003] PIER 42 [2003] PIER 41 [2003] PIER 40 [2003] PIER 39 [2003] PIER 38 [2002] PIER 37 [2002] PIER 36 [2002] PIER 35 [2002] PIER 34 [2001] PIER 33 [2001] PIER 32 [2001] PIER 31 [2001] PIER 30 [2001] PIER 29 [2000] PIER 28 [2000] PIER 27 [2000] PIER 26 [2000] PIER 25 [2000] PIER 24 [1999] PIER 23 [1999] PIER 22 [1999] PIER 21 [1999] PIER 20 [1998] PIER 19 [1998] PIER 18 [1998] PIER 17 [1997] PIER 16 [1997] PIER 15 [1997] PIER 14 [1996] PIER 13 [1996] PIER 12 [1996] PIER 11 [1995] PIER 10 [1995] PIER 09 [1994] PIER 08 [1994] PIER 07 [1993] PIER 06 [1992] PIER 05 [1991] PIER 04 [1991] PIER 03 [1990] PIER 02 [1990] PIER 01 [1989]
All Journals
PIER PIER B PIER C PIER M PIER Letters
2012-11-03
Sparse Time-Frequency Representation Based Feature Extraction Method for Landmine Discrimination
By
Yuming Wang,

    Dr. Yuming Wang

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Qian Song,

    Dr. Qian Song

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Tian Jin,

    Dr. Tian Jin

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Yunfei Shi,

    Dr. Yunfei Shi

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Xiao-Tao Huang

    Dr. Xiao-Tao Huang

    College of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Progress In Electromagnetics Research, Vol. 133, 459-475, 2013
doi:10.2528/PIER12082104
Abstract
Low-frequency ultra-wideband synthetic aperture radar is a promising technology for landmine detection. According to the scattering characteristics of body-of-revolution (BOR) along with azimuth angles, a discriminator based on Bayesian decision rule is proposed, which uses sequential features, i.e. double-hump distance. First, the algorithm estimates the target scatterings in all azimuth angles based on regions of interest. Second, sequential aspect features are extracted by sparse time-frequency representation. Third, the distributions of features are obtained by training samples, and then the posterior probability of landmine class is computed as an input to the classifier adopting Mahalanobis distance. The experimental results indicate that the proposed algorithm is effective in BOR target discrimination.
Citation
Yuming Wang, Qian Song, Tian Jin, Yunfei Shi, and Xiao-Tao Huang, "Sparse Time-Frequency Representation Based Feature Extraction Method for Landmine Discrimination," Progress In Electromagnetics Research, Vol. 133, 459-475, 2013.
doi:10.2528/PIER12082104
References

1. Habib, M. K., "Humanitarian demining: Reality and the challenge of technology-the state of the arts," International Journal of Advanced Robotic Systems, Vol. 4, No. 2, 151-172, 2007.

2. Tiwari, K. C., D. Singh, and M. K. Arora, "Development of a model for detection and estimation of depth of shallow buried non-metallic landmine at microwave X-band frequency," Progress In Electromagnetics Research, Vol. 79, 225-250, 2008.

3. International Campaign to Ban Landmines Monitor Report: Toward a Mine-Free World, 2006.

4. Lange, D. J. and E. Breejen, "Airborne multi-spectral minefield survey," Advanced Sensory Payloads for UAV, 18-1-18-8, 2005.

5. McFeea, J. E., et al. "Landmine detection using passive hyperspectral imaging," Proc. of SPIE, Vol. 6554, 655404-01-655404-13, 2007.

6. Cremer, F., et al. "Stand-off thermal IR minefield survey: System concept and experimental results," Proc. of SPIE, Vol. 5794, 209-220, 2005.

7. Moustafa, K. and K. F. A. Hussein, "Performance evaluation of separated aperture sensor GPR system for land mine detection," Progress In Electromagnetics Research, Vol. 72, 21-37, 2007.

8. Moussally, G., R. Fries, and R. Bortins, "Ground-penetrating synthetic-aperture radar for wide-area airborne minefield detection," Proc. of SPIE, Vol. 5415, 1042-1052, 2004.

9. Kositsky, J., R. Cosgrove, and C. Amazeen, "Results from a forward-looking GPR mine detection system," Proc. of SPIE, Vol. 4394, 700-711, 2001.

10. Bradley, M., et al. "Mine detection with a forward-looking ground-penetrating synthetic aperture radar," Proc. of SPIE, 334-347, 2003.

11. Chang, Y.-L., C.-Y. Chiang, and K.-S. Chen, "SAR image simulation with application to target recognition," Progress In Electromagnetics Research, Vol. 119, 35-57, 2011.

12. Gao, G., et al. "Fast detecting and locating groups of targets in high-resolution SAR images," Pattern Recognition, Vol. 40, 1378-1384, 2007.

13. Wang, T. P., et al. "Frequency subband processing and feature analysis of forward-looking ground-penetrating radar signals for land-mine detection," IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 3, 718-729, 2007.

14. Sun, Y. J. and J. Li, "Plastic landmine detection using time-frequency analysis for forward-looking ground penetrating radar," Proceedings of SPIE, Vol. 5089, 851-862, 2005.

15. Han, S.-K., H.-T. Kim, S.-H. Park, and K.-T. Kim, "Efficient radar target recognition using a combination of range profile and time-frequency analysis," Progress In Electromagnetics Research, Vol. 108, 131-140, 20110.

16. Jin, T., et al. "The evidence framework applied to fuzzy hyper-sphere SVM for UWB SAR landmine detection," Proceedings of ICSP, Vol. 3, 16-20, 2006.

17. Liao, K.-F., X.-L. Zhang, and J. Shi, "Fast 3-D microwave imaging method based on subaperture approximation," Progress In Electromagnetics Research, Vol. 126, 333-353, 2012.

18. Ji, S. H., R. Parr, and L. Carin, "Nonmyopic multiaspect sensing with partially observable Markov decision processes," IEEE Transactions on Signal Processing, Vol. 55, No. 6, 2720-2730, 2007.

19. Chu, X., "Evolution of beam quality and shape of Hermite-Gaussian beam in non-Kolmogorov turbulence," Progress In Electromagnetics Research, Vol. 120, 339-353, 2011.

20. Zhu, M., et al. "A time-frequency atom approach to radar emitter signal feature extraction ," Communications, Circuits and Systems Proceedings, Vol. 1, 615-619, 2006.

21. Rodriguez, I. V., D. Bonar, and M. S. Sacchi, "Microseismic record de-noising using a sparse time-frequency transform," SEG Annual Meeting, 1-6, 2011.

22. Rau, R. and J. H. McClellan, "Analytic models and postprocessing techniques for UWB SAR," IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, No. 4, 1058-1074, 2000.

23. Jin, T., Z. M. Zhou, and W. G. Chang, "Man-made targets pose estimation using time-frequency distribution in UWB SAR," Geoscience and Remote Sensing Symposium, IGARSS, Vol. 7, 4633-4635, 2005.

24. Vitebskiy, S., L. Carin, and M. A. Ressler, "Ultra-wideband, short-pulse ground-penetrating radar: Simulation and measurement," IEEE Transaction on Geoscience and Remote Sensing, Vol. 35, No. 3, 762-77, 1997.

25. Jin, T. and Z. M. Zhou, "Feature extraction and discriminator design for landmine detection on double-hump signature in ultrawideband SAR ," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 11, 3783-3791, 2008.

26. Ma, S. W., et al. "Parametric adaptive time-frequency representation based on time-sheared Gabor atoms," Journal of Systems Engineering and Electronics, Vol. 8, No. 1, 1-7, 2007.

27. Li, J., S. Zhang, and J. Chang, "Applications of compressed sensing for multiple transmitters multiple azimuth beams SAR imaging," Progress In Electromagnetics Research, Vol. 127, 259-275, 2012.

28. Conte, E., A. Demaio, and C. Galdi, "Statistical analysis of real clutter at different range resolutions," IEEE Transaction on Aerospace and Electronic Systems, Vol. 40, No. 3, 903-918, 2004.

29. Xiang, S. M., F. P. Nie, and C. S. Zhang, "Learning a mahalanobis distance metric for data clustering and classification," Pattern Recognition, Vol. 41, No. 12, 3600-3612, 2008.

30. Song, Q., et al. "Results from an airship-mounted ultra-wideband synthetic aperture radar for penetrating surveillance," Asia-Pacific Conference on Synthetic Aperture Radar, 194-197, Seoul, Korea, 2011.

31. Habib, M. A., M. Barkat, B. Aïssa, and T. A. Denidni, "Ca-CFAR detection performance of radar targets embedded in `non centered Chi-2 gamma' clutter," Progress In Electromagnetics Research, Vol. 88, 135-148, 2008.

32. Pinel, N., C. Bourlier, and J. Saillard, "Forward radar propagation over oil slicks on sea surfaces using the ament model with shadowing effect," Progress In Electromagnetics Research, Vol. 76, 95-126, 2007.

33. Owolawi, P. A., "Rainfall rate probability density evaluation and mapping for the estimation of rain attenuation in South Africa and surrounding islands," Progress In Electromagnetics Research, Vol. 112, 155-181, 2011.

Download Full Article (266) View Full Article volume
The EM Academy piers.org jpier.org Who's Who in EM
Copyright © 2022 The Electromagnetics Academy. All Rights Reserved.