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Volume 31 Issue 11
Dec.  2010
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Tao Yong, Hu Wei-dong. Analysis and Improvement of Regularization Based on lk Norm in SAR Complex-Imagery Domain[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2569-2574. doi: 10.3724/SP.J.1146.2008.01412
Citation: Tao Yong, Hu Wei-dong. Analysis and Improvement of Regularization Based on lk Norm in SAR Complex-Imagery Domain[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2569-2574. doi: 10.3724/SP.J.1146.2008.01412

Analysis and Improvement of Regularization Based on lk Norm in SAR Complex-Imagery Domain

doi: 10.3724/SP.J.1146.2008.01412
  • Received Date: 2008-11-03
  • Rev Recd Date: 2009-03-23
  • Publish Date: 2009-11-19
  • Regularization technique can accomplish super-resolution and noise suppression by imposing prior information, which provides high quality image for target recognition. The iterative process of SAR complex imagery domain regularization based on lk norm is analyzed to reveal the inherent principles of super-resolution. Because of the inconsistent resolution problem of the original algorithm for different amplitude scattering centers, an improved method based on varying parameters is proposed. Simulation experiments and computational results of measured MSTAR data prove the effectiveness of the proposed method.
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  • 王正明, 朱炬波, 等. SAR 图像提高分辨率技术[M]. 北京: 科学出版社, 2006: 131-171.Wang Z M and Zhu J B, et al.. The Technique for SAR ImageSuper-Resolution [M]. Beijing: Science Press, 2006: 131-171.[2]Cetin M and Karl W C. Feature-enhanced synthetic apertureradar image formation based on nonquadratic regularization[J].IEEE Transactions on Image Processing.2001, 10(4):623-631[3]Cetin M, Karl W C, and Castanon D A. Evaluation of aregularized SAR imaging technique based onrecognition-oriented features [C]. Proceedings of the SPIEConference on Algorithms for SAR Imagery VII, Orlando, FL,April 24-28, 2000, Vol. 4053: 40-51.[4]王岩, 梁甸农, 郭汉伟. 基于改进正则化方法的SAR 图像增强技术[J]. 电子学报, 2003, 31(9): 1307-1309.Wang Y, Liang D N, and Guo H W. SAR image enhancementusing modified regularization method [J]. Acta ElectronicaSinica, 2003, 31(9): 1307-1309.[5]汪雄良, 王正明, 赵侠, 等. 基于lk 范数正则化方法的SAR 图像超分辨[J]. 宇航学报, 2005, 26(9): 77-82.Wang X L, Wang Z M, and Zhao X, et al. SAR imagesuper-resolution based on regularization of lk norm [J].Journal of Astronautics, 2005, 26(9): 77-82.[6]赵侠, 王正明. SAR 复图像域上的噪声抑制和目标特征提取[J]. 电子学报, 2005, 33(12): 2135-2138.Zhao X and Wang Z M. The noise suppression and featureextraction in SAR complex-imagery domain [J]. ActaElectronica Sinica, 2005, 33(12): 2135-2138.[7]汪雄良, 王正明. 基于lk 范数正则化的SAR 图像目标特征增强[J]. 电子与信息学报. 2006, 28(9): 1594-1597.Wang X L and Wang Z M. Target feature enhanced of SARimage based on regularization of lk norm [J]. Journal ofElectronics & Information Technology, 2006, 28(9):1594-1597.[8]袁震宇, 王正明, 王光新, 等. SAR 图像点目标超分辨正则化方法的简化计算[J]. 中国空间科学技术, 2008, 28(1): 41-46.Yuan Z Y, Wang Z M, and Wang G X, et al.. Simplifiedcalculation of regularization of synthetic aperture radar imagepoint target supper-resolution [J]. Chinese Space Science andTechnology, 2008, 28(1): 41-46.[9]Yadin E, Olmar D, and Oron O, et al.. SAR imaging using amodern 2D spectral estimation method [C]. 2008 IEEE RadarConference, Rome, Italy, May 26-30, 2008: 368-373.[10]Suwa K and Iwamoto M. A two-dimensional bandwidthextrapolation technique for polarimetric synthetic apertureradar images [J].IEEE Transactions on Geoscience andRemote Sensing.2007, 45(1):45-54[11]Ahn J S and Bhanu B. Model-based recognition of articulatedobjects [J].Pattern Recognition Letters.2002, 23(8):1019-1029[12]Ravichandran B, Gandhe A, and Smith R, et al.. Robustautomatic target recognition using learning classifier systems[J].Information Fusion.2007, 8(3):252-265[13]Toumi A, Hoeltzener B, and Khenchaf A. Using watershedssegmentation on ISAR image for automatic targetrecognition [C]. Second IEEE International Conference onDigital Information Management, Lyon, France, October28-31, 2007: 285-290.
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