合成孔径雷达图像反演海面风向新方法的研究

姜祝辉; 黄思训; 石汉青; 张伟; 王彪

doi:10.7498/aps.60.108402

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摘要

提出了利用基于Tikhonov正则化的二维数值微分方法来反演合成孔径雷达图像海面风向的新方法. 首先将高分辨率合成孔径雷达图像去噪、降采样并分割成数个子图像,利用基于Tikhonov正则化的二维数值微分方法求解所关注子图像每一个点的梯度方向,在此基础上通过带有距离权重的目标函数确定子图像整体强度的梯度方向,该梯度的垂线方向就是所要求解的风向,然后进行模拟试验,在添加误差为10%的随机扰动情况下,分别基于Tikhonov正则化的二维数值微分方法与基于有限差分的Sobel算子方法来反演风向,结果表明,前者误差为0.7293,后者误差为13.5069,最后进行了实例试验,结果显示,Sobel算子方法的部分风向反演结果偏离整体风向明显,而基于Tikhonov正则化的二维数值微分方法的风向反演结果一致性较好. 将三个船舶报风向与相应位置合成孔径雷达图像的海面风向反演结果进行对比,Sobel算子方法的风向反演结果平均误差在9.0331,而基于Tikhonov正则化的二维数值微分方法的风向反演结果平均误差仅为1.1148.

关键词:

作者及机构信息

1.
解放军理工大学气象学院,南京 211101

基金项目: 国家自然科学基金(批准号:40775023)资助的课题.

参考文献

[1]	Jiang Z H, Huang S X, Du H D, Liu B 2010 Acta Phys. Sin. 59 8968 (in Chinese) [姜祝辉、黄思训、杜华栋、刘博 2010 物理学报 59 8968]
[2]	Portabella M, Stoffelen A, Johannessen J A 2002 J. Geophys. Res. 107 10.1029/2001JC000925
[3]
[4]
[5]	Zhong J, Huang S X, Du H D, Zhang L 2011 Chin. Phys. B accepted
[6]	Yang J S 2005 SAR Remote Sensing techniques of sea surface wind, surface wave and internal wave (Beijing: Ocean Press) p3132 (in Chinese)[杨劲松 2005 合成孔径雷达海面风场、海浪和内波遥感技术 (北京:海洋出版社) 第3132页]
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[15]	Jiang Z H, Huang S X, He R, Zhou C T 2011 Acta phys. Sin. 60 068401 (in Chinese) [姜祝辉、黄思训、何然、周晨腾 2011 物理学报 60 068401]
[16]
[17]	Monaldo F M, Thompson D R, Winstead N S, Pichel W G, Clemente C P, Hristiansen M B 2005 Johns Hopkins APL Tech. Dig. 26 102
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[24]	Lin H, Xu Q, Zheng Q 2008 Progress in Nature Science 18 913
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[33]
[34]	Horstmann J, Koch W, Lehner S, Tonboe R 2000 IEEE Trans. Geosci. Remote Sens. 38 2122
[35]
[36]	Fichaux N, Rachin T 2002 Can J Remote Sens. 28 510
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[38]	Jhne B 2002 Digital Image Processing. Concepts, Algorithms, and Scientific Applications, 5th ed.(Berlin: Springer-Verlag) p138140, p334
[39]
[40]	Wang Y B 2005 Ph. D. Dissertation (Shanghai: Fudan University) (in Chinese) [王彦博 2005 博士学位论文 (上海: 复旦大学)]
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[42]	Wang Y B, Wei T W 2005 J. Math. Anal. Appl. 312 121
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[45]	Wang Y G, Cai Q F, Huang S X 2010 Acta Phys. Sin. 59 4359 (in Chinese)[王业桂、蔡其发、黄思训 2010 物理学报 59 4359]
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[47]	Chen Y L 2007 Ph. D. Dissertation (Beijing: The Graduate School of Chinese Academy of Sciences) (in Chinese)[陈艳玲 2007 博士学位论文 (北京: 中国科学院研究生院)]

施引文献

[1]	Jiang Z H, Huang S X, Du H D, Liu B 2010 Acta Phys. Sin. 59 8968 (in Chinese) [姜祝辉、黄思训、杜华栋、刘博 2010 物理学报 59 8968]
[2]	Portabella M, Stoffelen A, Johannessen J A 2002 J. Geophys. Res. 107 10.1029/2001JC000925
[3]
[4]
[5]	Zhong J, Huang S X, Du H D, Zhang L 2011 Chin. Phys. B accepted
[6]	Yang J S 2005 SAR Remote Sensing techniques of sea surface wind, surface wave and internal wave (Beijing: Ocean Press) p3132 (in Chinese)[杨劲松 2005 合成孔径雷达海面风场、海浪和内波遥感技术 (北京:海洋出版社) 第3132页]
[7]
[8]
[9]	Gerling T W 1986 J. Geophys. Res. 91 2308
[10]
[11]	Vachon P W, Dobson F W 1996 Global Atmos. Ocean Syst. 5 177
[12]	He Y J, Perrie W, Zou Q P, Vachon P W 2005 IEEE Trans. Geosci. Remote Sens. 43 1453
[13]
[14]
[15]	Jiang Z H, Huang S X, He R, Zhou C T 2011 Acta phys. Sin. 60 068401 (in Chinese) [姜祝辉、黄思训、何然、周晨腾 2011 物理学报 60 068401]
[16]
[17]	Monaldo F M, Thompson D R, Winstead N S, Pichel W G, Clemente C P, Hristiansen M B 2005 Johns Hopkins APL Tech. Dig. 26 102
[18]	Horstmann J, Koch W 2005 IEEE J. Oceanic Engineering 30 508
[19]
[20]
[21]	Shen H, Perrie W, He Y J 2006 Proc. Int. Geosci. Remote Sens. Symp. 2228
[22]
[23]	Walker N, Woodhouse H, Cameron D 2007 Proc. Int. Geosci. Remote Sens. Symp. 3273
[24]	Lin H, Xu Q, Zheng Q 2008 Progress in Nature Science 18 913
[25]
[26]	Xu Q, Lin H, Zheng Q, Xiu P, Cheng Y, Lin Y 2008 Acta Oceanol. Sin. 27 57
[27]
[28]
[29]	Alpers W, Brummer B 1994 J. Geophys. Res. 99(C6) 12613
[30]
[31]	Levy G 1998 Proc. Int. Geosci. Remote Sens. Symp. 1437
[32]	Koch W 2004 IEEE Trans. Geosci. Remote Sens. 42 702
[33]
[34]	Horstmann J, Koch W, Lehner S, Tonboe R 2000 IEEE Trans. Geosci. Remote Sens. 38 2122
[35]
[36]	Fichaux N, Rachin T 2002 Can J Remote Sens. 28 510
[37]
[38]	Jhne B 2002 Digital Image Processing. Concepts, Algorithms, and Scientific Applications, 5th ed.(Berlin: Springer-Verlag) p138140, p334
[39]
[40]	Wang Y B 2005 Ph. D. Dissertation (Shanghai: Fudan University) (in Chinese) [王彦博 2005 博士学位论文 (上海: 复旦大学)]
[41]
[42]	Wang Y B, Wei T W 2005 J. Math. Anal. Appl. 312 121
[43]
[44]
[45]	Wang Y G, Cai Q F, Huang S X 2010 Acta Phys. Sin. 59 4359 (in Chinese)[王业桂、蔡其发、黄思训 2010 物理学报 59 4359]
[46]
[47]	Chen Y L 2007 Ph. D. Dissertation (Beijing: The Graduate School of Chinese Academy of Sciences) (in Chinese)[陈艳玲 2007 博士学位论文 (北京: 中国科学院研究生院)]

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合成孔径雷达图像反演海面风向新方法的研究

1. 解放军理工大学气象学院,南京 211101

基金项目:

国家自然科学基金(批准号:40775023)资助的课题.

收稿日期: 2010-11-25

修回日期: 2011-04-19

刊出日期: 2011-05-05

摘要: 提出了利用基于Tikhonov正则化的二维数值微分方法来反演合成孔径雷达图像海面风向的新方法. 首先将高分辨率合成孔径雷达图像去噪、降采样并分割成数个子图像,利用基于Tikhonov正则化的二维数值微分方法求解所关注子图像每一个点的梯度方向,在此基础上通过带有距离权重的目标函数确定子图像整体强度的梯度方向,该梯度的垂线方向就是所要求解的风向,然后进行模拟试验,在添加误差为10%的随机扰动情况下,分别基于Tikhonov正则化的二维数值微分方法与基于有限差分的Sobel算子方法来反演风向,结果表明,前者误差为0.7293,后者误差为13.5069,最后进行了实例试验,结果显示,Sobel算子方法的部分风向反演结果偏离整体风向明显,而基于Tikhonov正则化的二维数值微分方法的风向反演结果一致性较好. 将三个船舶报风向与相应位置合成孔径雷达图像的海面风向反演结果进行对比,Sobel算子方法的风向反演结果平均误差在9.0331,而基于Tikhonov正则化的二维数值微分方法的风向反演结果平均误差仅为1.1148.

关键词:

A new research on sea surface wind direction retrieval of synthetic aperture radar image

1.
Institute of Meteorology, People’s Liberation Army University of Science and Technology, Nanjing 211101, China

Received Date: 25 November 2010

Accepted Date: 19 April 2011

Published Online: 05 May 2011

Abstract: A new method to retrieve sea surface wind direction using synthetic aperture radar image is presented. Some pretreatment steps such as suppressing noise, down sampling and dividing into several sub-images are presented first. The method of two-dimensional numerical differentiation based on Tikhonov regularization is introduced to compute the gradient direction in the sub-image intensity of every point. The distance weighted objective function is used to compute the overall gradient direction in the sub-images. The retrieved wind direction is orthogonal to the overall gradient. When adding 10% of random errors, numerical simulations show that the result of numerical differentiation is better than that from the Sobel operator which is based on the finite difference method: the former error is 0.7293 , and the latter error is 13.5069 . Finally, an experiment based on real SAR data shows that the wind direction deviates from the overall direction determined by the method of Sobel operator, and the direction determined by the method of numerical differentiation is consistent well with the overall wind direction. Comparing the ship board wind direction and the corresponding location wind direction retrieved from the synthetic aperture radar sub-images with the two methods, the average result error of Sobel operator method is 9.0331, while that of numerical differentiation method is 1.1148. This new method is an effective and high accurate method to retrieve the sea surface wind direction of synthetic aperture radar image.

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