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针对传统的Gamma分布下最大后验概率降斑算法不能有效保留均匀区域的点目标, 不能有效保留弱边缘以及不能有效滤除强边缘区域的斑点等问题, 提出了基于第二类统计量的先验参数估计的高分辨率合成孔径雷达图像Gamma 分布下最大后验概率降斑算法. 使用Mellin卷积和斑点的乘性模型, Gamma先验分布的参数可由观察图像的前两阶对数累积量精确估计.所提算法具有解析的滤波输出, 便于实现.农田和城区的高分辨率合成孔径雷达图像的降斑实验表明, 与传统的Gamma分布下最大后验概率降斑算法相比, 所提算法既能有效保留均匀区域的点目标, 又能有效保留弱边缘, 还能有效滤除强边缘区域的斑点.
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关键词:
- 高分辨率合成孔径雷达图像 /
- Gamma分布下最大后验概率降斑算法 /
- 第二类统计量 /
- 对数累积量
In order to solve the problem that the traditional Gamma-distributed maximum a posteriori despeckling algorithm cannot effectively preserve the point target in the homogeneous region, nor effectively keep the weak edge, and nor efficiently suppress the speckle in the strong edge region, the Gamma-distributed maximum a posteriori despeckling algorithm with prior parameter estimation based on second-kind statistics is proposed for high-resolution synthetic aperture radar images. Using the Mellin convolution and the multiplicative model of speckle, the parameters of the Gamma prior distribution are accurately estimated from the first two log-cumulants of the observed image. The proposed algorithm has the analytical filtering output, and it is easy to implement. Despeckling experiments on high-resolution synthetic aperture radar images of agricultural field and urban region demonstrate that compared with the traditional Gamma-distributed maximum a posteriori despeckling algorithm, the proposed one can effectively preserve the point target in the homogenous region, effectively retain the weak edge, and efficiently suppress the speckle in the strong edge region.-
Keywords:
- high-resolution synthetic aperture radar images /
- Gamma-distributed maximum a posteriori despeckling algorithm /
- second-kind statistics /
- log-cumulants
[1] Pi Y M, Yang J Y, Fu Y S, Yang X B 2007 Synthetic Aperture Radar Imaging Principle (Chengdu: University of Electronic Science and Technology Press) (in Chinese) [皮亦鸣, 杨建宇, 付毓生, 杨晓波 2007 合成孔径雷达成像原理 (成都: 电子科技大学出版社)]
[2] Lopes A, Nezry E, Touzi R, Laur H 1993 Int. J. Remote Sens. 14 1735
[3] Chen Y N, Jin W Q, Zhao L, Zhao L 2009 Acta Phys. Sin. 58 264 (in Chinese) [陈翼男, 金伟其, 赵磊, 赵琳 2009 58 264]
[4] Zhao X B, Yan W, Kong Y, Han D, Liu W J 2013 Acta Phys. Sin. 62 138402 (in Chinese) [赵现斌, 严卫, 孔毅, 韩丁, 刘文俊 2013 62 138402]
[5] Ji W J, Tong C M 2013 Chin. Phys. B 22 020301
[6] Anastassopoulos V, Lampropoulos G A, Drosopoulos A, Rey M 1999 IEEE Trans. Aerospace Elect. Syst. 35 43
[7] Zhang H, Wang C, Zhang B, Wu F, Yan D M 2009 Target Recognition in High Resolution SAR Images (Beijing: Science Press) (in Chinese) [张红, 王超, 张波, 吴樊, 闫冬梅 2009 高分辨率SAR图像目标识别 (北京: 科学出版社)]
[8] Sun Z G, Han C Z 2010 Acta Phys. Sin. 59 998 (in Chinese) [孙增国, 韩崇昭 2010 59 998]
[9] Solbo S, Eltoft T 2004 Int. J. Remote Sens. 25 1019
[10] Sun Z G, Han C Z 2007 Acta Phys. Sin. 56 4565 (in Chinese) [孙增国, 韩崇昭 2007 56 4565]
[11] Xie H, Pierce L E, Ulaby F T 2002 IEEE Trans. Geosci. Remote Sens. 40 721
[12] Skolnik M I 2001 Introduction to Radar Systems (3rd Ed.) (New York: McGraw-Hill)
[13] Ward K D, Tough R J A, Watts S 2006 Sea Clutter: Scattering, the K Distribution and Radar Performance (London: The Institution of Engineering Technology)
[14] Nicolas J M 2002 Proceedings of European Signal Processing Conference Toulouse, France, September 3-6, 2002 p197
[15] Tison C, Nicolas J M, Tupin F, Maitre H 2004 IEEE Trans. Geosci. Remote Sensing 42 2046
[16] Achim A, Kuruoglu E E, Zerubia J 2006 IEEE Trans. Image Process. 15 2686
[17] Press W H, Teukolsky S A, Vetterling W T, Flannery B P 1994 Numerical Recipes in C (Cambridge: Cambridge University Press)
[18] Sun Z G, Han C Z 2010 Acta Phys. Sin. 59 3210 (in Chinese) [孙增国, 韩崇昭 2010 59 3210]
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[1] Pi Y M, Yang J Y, Fu Y S, Yang X B 2007 Synthetic Aperture Radar Imaging Principle (Chengdu: University of Electronic Science and Technology Press) (in Chinese) [皮亦鸣, 杨建宇, 付毓生, 杨晓波 2007 合成孔径雷达成像原理 (成都: 电子科技大学出版社)]
[2] Lopes A, Nezry E, Touzi R, Laur H 1993 Int. J. Remote Sens. 14 1735
[3] Chen Y N, Jin W Q, Zhao L, Zhao L 2009 Acta Phys. Sin. 58 264 (in Chinese) [陈翼男, 金伟其, 赵磊, 赵琳 2009 58 264]
[4] Zhao X B, Yan W, Kong Y, Han D, Liu W J 2013 Acta Phys. Sin. 62 138402 (in Chinese) [赵现斌, 严卫, 孔毅, 韩丁, 刘文俊 2013 62 138402]
[5] Ji W J, Tong C M 2013 Chin. Phys. B 22 020301
[6] Anastassopoulos V, Lampropoulos G A, Drosopoulos A, Rey M 1999 IEEE Trans. Aerospace Elect. Syst. 35 43
[7] Zhang H, Wang C, Zhang B, Wu F, Yan D M 2009 Target Recognition in High Resolution SAR Images (Beijing: Science Press) (in Chinese) [张红, 王超, 张波, 吴樊, 闫冬梅 2009 高分辨率SAR图像目标识别 (北京: 科学出版社)]
[8] Sun Z G, Han C Z 2010 Acta Phys. Sin. 59 998 (in Chinese) [孙增国, 韩崇昭 2010 59 998]
[9] Solbo S, Eltoft T 2004 Int. J. Remote Sens. 25 1019
[10] Sun Z G, Han C Z 2007 Acta Phys. Sin. 56 4565 (in Chinese) [孙增国, 韩崇昭 2007 56 4565]
[11] Xie H, Pierce L E, Ulaby F T 2002 IEEE Trans. Geosci. Remote Sens. 40 721
[12] Skolnik M I 2001 Introduction to Radar Systems (3rd Ed.) (New York: McGraw-Hill)
[13] Ward K D, Tough R J A, Watts S 2006 Sea Clutter: Scattering, the K Distribution and Radar Performance (London: The Institution of Engineering Technology)
[14] Nicolas J M 2002 Proceedings of European Signal Processing Conference Toulouse, France, September 3-6, 2002 p197
[15] Tison C, Nicolas J M, Tupin F, Maitre H 2004 IEEE Trans. Geosci. Remote Sensing 42 2046
[16] Achim A, Kuruoglu E E, Zerubia J 2006 IEEE Trans. Image Process. 15 2686
[17] Press W H, Teukolsky S A, Vetterling W T, Flannery B P 1994 Numerical Recipes in C (Cambridge: Cambridge University Press)
[18] Sun Z G, Han C Z 2010 Acta Phys. Sin. 59 3210 (in Chinese) [孙增国, 韩崇昭 2010 59 3210]
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