Vol. 134
Latest Volume
All Volumes
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]
2012-11-24
SAR Image Despeckling by Selective 3D Filtering of Multiple Compressive Reconstructed Images
By
Progress In Electromagnetics Research, Vol. 134, 209-226, 2013
Abstract
A despeckling technique based on multiple image reconstruction and selective 3-dimensional filtering is proposed. Multiple SAR images are reconstructed from a single SAR image by employing compressive sensing (CS) theory. In order to obtain multiple images from single SAR image, multiple subsets of pixels are selected from input SAR image by imposing restriction that each subset has at least 20% different pixels than any other subset. These subsets are taken as measurement vectors in CS framework to obtain multiple SAR images. A despeckled image is obtained by employing selective 3-dimensional filtering to multiple reconstructed SAR image. The proposed technique is tested on single look complex TerraSAT-X data set, and experimental results exhibit that the proposed technique outperformed benchmark despekling methods in terms of visual quality and despeckling quality metrics.
Citation
Mahboob Iqbal, Jie Chen, Wei Yang, Pengbo Wang, and Bing Sun, "SAR Image Despeckling by Selective 3D Filtering of Multiple Compressive Reconstructed Images," Progress In Electromagnetics Research, Vol. 134, 209-226, 2013.
doi:10.2528/PIER12091504
References

1. Saevarsson, B. B., J. R. Sveinsson, and J. A. Benediktsson, "Combined wavelet and curvelet denoising of SAR images," Geoscience and Remote Sensing Symposium, 2004 IEEE International Proceedings, IGARSS'04, Vol. 6, 4235-4238, Sept. 2004.
doi:10.1109/IGARSS.2004.1370070

2. Koo, V. C., Y. K. Chan, V. Gobi, M. Y. Chua, C. H. Lim, C.-S. Lim, C. C. Thum, T. S. Lim, Z. Bin Ahmad, K. A. Mahmood, M. H. Bin Shahid, C. Y. Ang, W. Q. Tan, P. N. Tan, K. S. Yee, W. G. Cheaw, H. S. Boey, A. L. Choo, and B. C. Sew, "A new unmanned aerial vehicle synthetic aperture radar for environmental monitoring," Progress In Electromagnetics Research, Vol. 122, 245-268, 2012.
doi:10.2528/PIER11092604

3. Mohammadpoor, M., R. S. A. Raja Abdullah, A. Ismail, and A. F. Abas, "A circular synthetic aperture radar for on-the-ground object detection," Progress In Electromagnetics Research, Vol. 122, 269-292, 2012.
doi:10.2528/PIER11082201

4. Brusch, S., S. Lehner, T. Fritz, M. Soccorsi, A. Soloviev, and B. van Schie, "Ship surveillance with TerraSAR-X," IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 3, 1092-1103, Mar. 2011.
doi:10.1109/TGRS.2010.2071879

5. Park, J.-I. and K.-T. Kim, "A comparative study on isar imaging algorithms for radar target identification," Progress In Electromagnetics Research, Vol. 108, 155-175, 2010.
doi:10.2528/PIER10071901

6. Ren, S., W. Chang, T. Jin, and Z. Wang, "Automated SAR reference image preparation for navigation," Progress In Electromagnetics Research, Vol. 121, 535-555, 2011.
doi:10.2528/PIER11091405

7. Eineder, M., C. Minet, P. Steigenberger, X. Cong, and T. Fritz, "Imaging geodesy-toward centimeter-level ranging accuracy with," IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 2, 661-671, Feb. 2011.
doi:10.1109/TGRS.2010.2060264

8. Martnez-Lorenzo, J. A., F. Quivira, and C. M. Rappaport, "SAR imaging of suicide bombers wearing concealed explosive threats," Progress In Electromagnetics Research, Vol. 125, 255-172, 2012.
doi:10.2528/PIER11120518

9. Chang, Y.-L., C.-Y. Chiang, and K.-S. Chen, "SAR IMA simulation with application to target recognition," Progress In Electromagnetics Research, Vol. 119, 35-57, 2011.
doi:10.2528/PIER11061507

10. Lee, J.-S. and E. Pottier, Polarimetric Radar Imaging from Basics to Applications, CRC Press, 2009.

11. Lee, J. S., L. Jurkevich, P. Dewaele, P. Wambacq, and A. Oosterlinck, "Speckle filtering of synthetic aperture radar images: A review," Remote Sensing Reviews, Vol. 8, No. 4, 313-340, 1994.
doi:10.1080/02757259409532206

12. Frost, V. S., J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 4, No. 2, 157-166, Mar. 1982.
doi:10.1109/TPAMI.1982.4767223

13. Baraldi, A. and F. Parmiggiani, "A refined gamma map SAR speckle filter with improved geometrical adaptivity," IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 5, 1245-1257, Sept. 1995.
doi:10.1109/36.469489

14. Dai, M., C. Peng, A. K. Chan, and D. Loguinov, "Bayesian wavelet shrinkage with edge detection for SAR image despeckling," IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 8, 1642-1648, Aug. 2004.
doi:10.1109/TGRS.2004.831231

15. Gleich, D., M. Kseneman, and M. Datcu, "Despeckling of terrasarx data using second-generation wavelets," IEEE Geoscience and Remote Sensing Letters, Vol. 7, No. 1, 68-72, Jan. 2010.
doi:10.1109/LGRS.2009.2020610

16. Xu, J., H. Zhong, and L. Jiao, "Classification based non-local means despeckling for SAR image," Proceedings of SPIE, Vol. 7495, 2009.

17. Coupe, P., P. Hellier, C. Kervrann, and C. Barillot, "Bayesian non local means-based speckle filtering," 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008, 1291-1294, May 2008.
doi:10.1109/ISBI.2008.4541240

18. Parrilli, S., M. Poderico, C. V. Angelino, and L. Verdoliva, "A nonlocal SAR image denoising algorithm based on llmmse A nonlocal SAR image denoising algorithm based on llmmse," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 2, 606-616, Feb. 2012.
doi:10.1109/TGRS.2011.2161586

19. Deledalle, C.-A., L. Denis, and F. Tupin, "Iterative weighted maximum likelihood denoising with probabilistic patch-based weights," IEEE Transactions on Image Processing, Vol. 18, No. 12, 2661-2672, Dec. 2009.
doi:10.1109/TIP.2009.2029593

20. Donoho, D. L., "Compressed sensing," IEEE Transactions on Information Theory, Vol. 52, No. 4, 1289-1306, Apr. 2006.
doi:10.1109/TIT.2006.871582

21. Chen, J., J. Gao, Y. Zhu, W. Yang, and P. Wang, "A novel image formation algorithm for high-resolution wide-swath spaceborne SAR using compressed sensing on azimuth displacement phase center antenna," Progress In Electromagnetics Research, Vol. 125, 527-543, 2012.
doi:10.2528/PIER11121101

22. Wei, S.-J., X.-L. Zhang, and J. Shi, "Linear array SAR imaging via compressed sensing," Progress In Electromagnetics Research, Vol. 117, 299-319, 2011.

23. 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.
doi:10.2528/PIER12021307

24. Xing, S., D. Dai, Y. Li, and X. Wang, "Polarimetric SAR tomography using ł2,1 mixed norm sparse reconstruction method," Progress In Electromagnetics Research, Vol. 130, 105-130, 2012.

25. Iqbal, M. and J. Chen, "Despecking of SAR images using compressive imaging framework ," Geoscience and Remote Sensing Symposium, 2012 IEEE International Proceedings, IGARSS'12, 264-267, Jul. 2012.

26. Figueiredo, M. A. T., R. D. Nowak, and S. J. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE Journal of Selected Topics in Signal Processing, Vol. 1, No. 4, 586-597, Dec. 2007.
doi:10.1109/JSTSP.2007.910281

27. Needell, D. and R. Vershynin, "Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit," IEEE Journal of Selected Topics in Signal Processing, Vol. 4, No. 2, 310-316, Apr. 2010.
doi:10.1109/JSTSP.2010.2042412

28. Wakin, M. B., J. N. Laska, M. F. Duarte, D. Baron, S. Sarvotham, D. Takhar, K. F. Kelly, and R. G. Baraniuk, "An architecture for compressive imaging," 2006 IEEE International Conference on Image Processing, 1273-1276, Oct. 2006.

29. Sen, P. and S. Darabi, "Compressive rendering: A rendering application of compressed sensing," IEEE Transactions on Visualization and Computer Graphics, Vol. 17, No. 4, 487-499, Apr. 2011.
doi:10.1109/TVCG.2010.46

30. Gonzalez, R. C. and R. E. Woods, Digital Image Processing, Prentice Hall, New York, 2008.

31. Gagnon, L. and A. Jouan, "Speckle filtering of SAR images: A comparative study between complex-wavelet-based and standard filters," Proceedings of SPIE, Vol. 3169, 1997.

32. Shen, Y. and Z.-G. Xia, "A comprehensive evaluation of filters for radar speckle suppression," Geoscience and Remote Sensing Symposium, 1996 IEEE International Proceedings, IGARSS'96, Vol. 3, 1559-1561, May 1996.

33. Trinder, J. C. and A. Shamsoddini, "Image texture preservation in speckle noise suppression," ISPRS TC VII Symposium - 100 Years ISPR, Vol. XXXVIII, W. Wagner, B. Szkely, (eds.), Part 7A, 239-244, Vienna, Austria, Jul. 5-7, 2010.

34. Zhang, W., F. Liu, L. Jiao, B. Hou, S.Wang, and R. Shang, "SAR image despeckling using edge detection and feature clustering in bandelet domain," IEEE Geoscience and Remote Sensing Letters, Vol. 7, No. 1, 131-135, Jan. 2010.
doi:10.1109/LGRS.2009.2028588

35. Breit, H., T. Fritz, U. Balss, M. Lachaise, A. Niedermeier, and M. Vonavka, "Terrasar-x SAR processing and products," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 2, 727-740, Feb. 2010.
doi:10.1109/TGRS.2009.2035497

36. Frost, V. S., J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, "A model for radar images and its application to adaptive digital filtering of multiplicative noise," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 4, No. 2, 157-166, Mar. 1982.
doi:10.1109/TPAMI.1982.4767223