Vol. 20
Latest Volume
All Volumes
PIERB 97 [2022] PIERB 96 [2022] PIERB 95 [2022] PIERB 94 [2021] PIERB 93 [2021] PIERB 92 [2021] PIERB 91 [2021] PIERB 90 [2021] PIERB 89 [2020] PIERB 88 [2020] PIERB 87 [2020] PIERB 86 [2020] PIERB 85 [2019] PIERB 84 [2019] PIERB 83 [2019] PIERB 82 [2018] PIERB 81 [2018] PIERB 80 [2018] PIERB 79 [2017] PIERB 78 [2017] PIERB 77 [2017] PIERB 76 [2017] PIERB 75 [2017] PIERB 74 [2017] PIERB 73 [2017] PIERB 72 [2017] PIERB 71 [2016] PIERB 70 [2016] PIERB 69 [2016] PIERB 68 [2016] PIERB 67 [2016] PIERB 66 [2016] PIERB 65 [2016] PIERB 64 [2015] PIERB 63 [2015] PIERB 62 [2015] PIERB 61 [2014] PIERB 60 [2014] PIERB 59 [2014] PIERB 58 [2014] PIERB 57 [2014] PIERB 56 [2013] PIERB 55 [2013] PIERB 54 [2013] PIERB 53 [2013] PIERB 52 [2013] PIERB 51 [2013] PIERB 50 [2013] PIERB 49 [2013] PIERB 48 [2013] PIERB 47 [2013] PIERB 46 [2013] PIERB 45 [2012] PIERB 44 [2012] PIERB 43 [2012] PIERB 42 [2012] PIERB 41 [2012] PIERB 40 [2012] PIERB 39 [2012] PIERB 38 [2012] PIERB 37 [2012] PIERB 36 [2012] PIERB 35 [2011] PIERB 34 [2011] PIERB 33 [2011] PIERB 32 [2011] PIERB 31 [2011] PIERB 30 [2011] PIERB 29 [2011] PIERB 28 [2011] PIERB 27 [2011] PIERB 26 [2010] PIERB 25 [2010] PIERB 24 [2010] PIERB 23 [2010] PIERB 22 [2010] PIERB 21 [2010] PIERB 20 [2010] PIERB 19 [2010] PIERB 18 [2009] PIERB 17 [2009] PIERB 16 [2009] PIERB 15 [2009] PIERB 14 [2009] PIERB 13 [2009] PIERB 12 [2009] PIERB 11 [2009] PIERB 10 [2008] PIERB 9 [2008] PIERB 8 [2008] PIERB 7 [2008] PIERB 6 [2008] PIERB 5 [2008] PIERB 4 [2008] PIERB 3 [2008] PIERB 2 [2008] PIERB 1 [2008]
2010-04-21
Target-Aided SAR Image Intelligent Compression
By
Progress In Electromagnetics Research B, Vol. 20, 285-302, 2010
Abstract
Intelligent compression is important to image transmission in real time over bandlimited channels for synthetic aperture radar (SAR) payloads deployed on unmanned aerial vehicles (UAV), where target areas are encoded with high fidelity, while background data are encoded with lesser fidelity. A target-aided SAR image intelligent compression (TAIC)system is presented in this paper, which utilizes robust fixed-rate trellis-coded quantization (FRTCQ) to encode target sequences and FRTCQ to encode background sequences. Multiresolution constant false alarm rate (CFAR) detector in wavelet domain using db4 based on the multiscale model of target is embedded. Generic region of interest (ROI) mask is created. In order to achieve better quality of target areas decoded, ROI mask is modified. The improved performance using TAIC system by compressing target chips from training set and testing set in Moving and Stationary Target Acquisition and Recognition (MSTAR) database is demonstrated.
Citation
Xiao-Hong Yuan Zhao-Da Zhu Gong Zhang , "Target-Aided SAR Image Intelligent Compression," Progress In Electromagnetics Research B, Vol. 20, 285-302, 2010.
doi:10.2528/PIERB10012401
http://www.jpier.org/PIERB/pier.php?paper=10012401
References

1. Chan, Y. K. and V. C. Koo, "An introduction to Synthetic Aperture Radar (SAR)," Progress In Electromagnetics Research B, Vol. 2, 27-60, 2008.
doi:10.2528/PIERB07110101

2. Li, N.-J., C.-F. Hu, L.-X. Zhang, and J.-D. Xu, "Overview of RCS extrapolation techniques to aircraft targets," Progress In Electromagnetics Research B, Vol. 9, 249-262, 2008.
doi:10.2528/PIERB08080706

3. Zou, B., H. Cai, L. Zhang, and M. Lin, "Model of man-made target beneath foliage using polinsar," Progress In Electromagnetics Research Letters, Vol. 2, 21-28, 2008.
doi:10.2528/PIERL07122802

4. Xue, W. and X.-W. Sun, "Target detection of vehicle volume detecting radar based on wigner-hough transform," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 11, 1513-1523, 2007.
doi:10.1163/156939307782000334

5. Lee, J. H. and H. T. Kim, "Radar target discrimination using transient response reconstruction," Journal of Electromagnetic Waves and Applications, Vol. 19, No. 5, 655-669, 2005.
doi:10.1163/1569393053305062

6. Jung, J. H., H. T. Kim, and K. T. Kim, "Comparisons of four feature extraction approaches based on Fisher's linear discriminant criterion in radar target recognition," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 2, 251-265, 2007.
doi:10.1163/156939307779378781

7. Seo, D.-K., K. T. Kim, I. S. Choi, and H. T. Kim, "Wide-angle radar target recognition with subclass concept," Progress In Electromagnetics Research, Vol. 44, 231-248, 2004.
doi:10.2528/PIER03060301

8. Alan, C., M. Kristo, L. Austin, and L. Margaret, "A compression of detected SAR imagery with JPEG2000," SPIE, Vol. 4115, 510-520, 2000.

9. Zhang, J., Y. Huang, and H. Tian, SAR image compression based on image decomposing and targets extracting, 1st Asian and Paci¯c Conference on Synthetic Aperture Radar Proceedings, 671-673, 2007.

10. Venkatraman, M., H. Kwon, and N. M. Nasrabadi, "Object-based SAR image compression using vector quantization," IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, No. 4, 1036-1046, 2000.
doi:10.1109/7.892656

11. Bonneau, R. and G. Abousleman, "Target-aided fixed-quality-of-service compression of SAR imagery for transmission over noisy wireless channels," ICASSP'02, Vol. 4, IV-3413-IV-3416, 2002.

12. Tanabe, N. and N. Farvardin, "Subband image coding using entropy coded quantization over noisy channels," IEEE Journal Select. Areas Commun., Vol. 10, 926-642, 1992.
doi:10.1109/49.138998

13. Abousleman, G. P., "Wavelet-based hyperspectral image coding using robust fixed-rate trellis-coded quantization," SPIE, Vol. 3372, 74-85, 1998.
doi:10.1117/12.312610

14. Birney, K. and T. Fishcher, "On the modeling of DCT and subband image data for compression," IEEE Transactions on Image Processing, Vol. 4, No. 2, 186-193, 1995.
doi:10.1109/83.342184

15. Park, K.-H. and H. W. Park, "Region-of-interest coding based on set partioning in hierarchical trees," IEEE Transaction on Circuits and Systems for Video Technology, Vol. 12, No. 2, 106-113, 2002.
doi:10.1109/76.988657

16. Daubechies, I. and W. Sweldens, "Factoring wavelet transforms into lifting steps," The Journal of Fourier Analysis and Applications, Vol. 40, No. 3, 247-269, 1998.

17. Novak, L. and S. Owirka, "Effects of polarization and resolution on SAR ATR," IEEE Transactions on Aerospace and Electronic Systems , Vol. 33, No. 1, 102-116, 1997.
doi:10.1109/7.570713

18. Gorman, J. D., Assessing the impact of image compression on SAR automatic target detection and cueing, Radar Conference, 118-123, 1996.

19. Kim, A. and H. Krim, "Hierarchical stochastic modeling of SAR imagery for segmentation/compression," IEEE Transaction on Signal Processing, Vol. 47, No. 2, 458-468, 1999.
doi:10.1109/78.740129

20. Lombardom, P., M. Sciotti, and L. M. Kaplan, SAR prescreening using both target and shadow information, IEEE Radar Conference, 147-152, Atlanta, USA, 2001.