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

Jiang Zhu-Hui Huang Si-Xun Shi Han-Qing Zhang Wei Wang Biao

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

Jiang Zhu-Hui, Huang Si-Xun, Shi Han-Qing, Zhang Wei, Wang Biao
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  • 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.
    • Funds:
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    Gerling T W 1986 J. Geophys. Res. 91 2308

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    Vachon P W, Dobson F W 1996 Global Atmos. Ocean Syst. 5 177

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    He Y J, Perrie W, Zou Q P, Vachon P W 2005 IEEE Trans. Geosci. Remote Sens. 43 1453

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    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]

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    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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    Horstmann J, Koch W 2005 IEEE J. Oceanic Engineering 30 508

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    Shen H, Perrie W, He Y J 2006 Proc. Int. Geosci. Remote Sens. Symp. 2228

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    Walker N, Woodhouse H, Cameron D 2007 Proc. Int. Geosci. Remote Sens. Symp. 3273

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    Lin H, Xu Q, Zheng Q 2008 Progress in Nature Science 18 913

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    Xu Q, Lin H, Zheng Q, Xiu P, Cheng Y, Lin Y 2008 Acta Oceanol. Sin. 27 57

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    Levy G 1998 Proc. Int. Geosci. Remote Sens. Symp. 1437

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    Koch W 2004 IEEE Trans. Geosci. Remote Sens. 42 702

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    Horstmann J, Koch W, Lehner S, Tonboe R 2000 IEEE Trans. Geosci. Remote Sens. 38 2122

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    Fichaux N, Rachin T 2002 Can J Remote Sens. 28 510

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    Jhne B 2002 Digital Image Processing. Concepts, Algorithms, and Scientific Applications, 5th ed.(Berlin: Springer-Verlag) p138140, p334

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    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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    Wang Y B, Wei T W 2005 J. Math. Anal. Appl. 312 121

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    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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    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)]

  • [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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    [2] Jiang Zhu-Hui, Huang Si-Xun, He Ran, Zhou Chen-Teng. Regularization method to retrieve synthetic aperture radar sea surface wind. Acta Physica Sinica, 2011, 60(6): 068401. doi: 10.7498/aps.60.068401
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    [7] Guan Ji-Ping, Huang Si-Xun, Zhang Li-Feng. A new method for calculating vorticity and Divergence using global wind field. Acta Physica Sinica, 2014, 63(17): 179201. doi: 10.7498/aps.63.179201
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    [9] Chen Si, Zhao Hui-Chang, Zhang Shu-Ning, Chen Yong. An improved back projection imaging algorithm for dechirped missile-borne SAR. Acta Physica Sinica, 2013, 62(21): 218405. doi: 10.7498/aps.62.218405
    [10] Chen Yong, Zhao Hui-Chang, Chen Si, Zhang Shu-Ning. Imaging algorithm for missile-borne SAR using the fractional Fourier transform. Acta Physica Sinica, 2014, 63(11): 118403. doi: 10.7498/aps.63.118403
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  • Received Date:  25 November 2010
  • Accepted Date:  19 April 2011
  • Published Online:  15 October 2011

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

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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