WANG Li, CHENG Yunfei, HONG Lijuan, LIU Xinyu. A novel algorithm for ocean wave direction inversion from X-band radar images based on optical flow method[J]. Acta Oceanologica Sinica, 2018, 37(3): 88-93. doi: 10.1007/s13131-018-1201-9
Citation: WANG Li, CHENG Yunfei, HONG Lijuan, LIU Xinyu. A novel algorithm for ocean wave direction inversion from X-band radar images based on optical flow method[J]. Acta Oceanologica Sinica, 2018, 37(3): 88-93. doi: 10.1007/s13131-018-1201-9

A novel algorithm for ocean wave direction inversion from X-band radar images based on optical flow method

doi: 10.1007/s13131-018-1201-9
  • Received Date: 2017-05-11
  • As one of the important sea state parameters for navigation safety and coastal resource management, the ocean wave direction represents the propagation direction of the wave. A novel algorithm based on an optical flow method is developed for the ocean wave direction inversion of the ocean wave fields imaged by the X-band radar continuously. The proposed algorithm utilizes the echo images received by the X-band wave monitoring radar to estimate the optical flow motion, and then the actual wave propagation direction can be obtained by taking a weighted average of the motion vector for each pixel. Compared with the traditional ocean wave direction inversion method based on frequency-domain, the novel algorithm is fully using a time-domain signal processing method without determination of a current velocity and a modulation transfer function (MTF). In the meantime, the novel algorithm is simple, efficient and there is no need to do something more complicated here. Compared with traditional ocean wave direction inversion method, the ocean wave direction of derived by using this proposed method matches well with that measured by an in situ buoy nearby and the simulation data. These promising results demonstrate the efficiency and accuracy of the algorithm proposed in the paper.
  • loading
  • Barron J L, Fleet D J, Beauchemin S S. 1994. Performance of optical flow techniques. International Journal of Computer Vision, 12(1): 43-77
    Beauchemin S S, Barron J L. 1995. The computation of optical flow. ACM Computing Surveys, 27(3): 433-466
    Brox T, Malik J. 2011. Large displacement optical flow: descriptor matching in variational motion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3): 500-513
    Bung D B, Valero D. 2016. Optical flow estimation in aerated flows. Journal of Hydraulic Research, 54(5): 575-580
    Chase J, Cote L J, Marks W, et al. 1957. The Directional Spectrum of a Wind Generated Sea as Determined from Data Obtained by the Stereo Wave Observation Project. IEEE International Conference on Communications,: 5274-5280
    Donelan M, Skafel M, Graber H, et al. 1992. On the growth rate of wind-generated waves. Atmosphere-Ocean, 30(3): 457-478
    Gangeskar R. 2002. Ocean current estimated from X-band radar sea surface, images. IEEE Transactions on Geoscience and Remote Sensing, 40(4): 783-792
    Hanson J L, Phillips O M. 1999. Wind sea growth and dissipation in the open ocean. Journal of Physical Oceanography, 29(8): 1633-1648
    Hasselmann D E, Dunckel M, Ewing J A. 1980. Directional wave spectra observed during JONSWAP 1973. Journal of Physical Oceanography, 10(8): 1264-1280
    Huang Weimin, Gill E, An Jiaqi. 2014. Iterative least-squares-based wave measurement using X-band nautical radar. IET Radar, Sonar & Navigation, 8(8): 853-863
    Kitaigordskii S A, Krasitskii V P, Zaslavskii M M. 1975. On Phillips' theory of equilibrium range in the spectra of wind-generated gravity waves. Journal of Physical Oceanography, 5(3): 410-420
    Longuet-Higgins M S. 1957. Statistical properties of an isotropic random surface. Philosophical Transactions of the Royal Society: A. Mathematical, Physical and Engineering Sciences, 250(975): 157-174
    Senet C M, Seemann J, Flampouris S, et al. 2008. Determination of bathymetric and current maps by the method DISC based on the analysis of nautical X-band radar image sequences of the sea surface (November 2007). IEEE Transactions on Geoscience and Remote Sensing, 46(8): 2267-2279
    Senet C M, Seemann J, Ziemer F. 2001. The near-surface current velocity determined from image sequences of the sea surface. IEEE Transactions on Geoscience and Remote Sensing, 39(3): 492-505
    Vicen-Bueno R, Lido-Muela C, Nieto-Borge J C. 2012. Estimate of significant wave height from non-coherent marine radar images by multilayer perceptrons. EURASIP Journal on Advances in Signal Processing, 2012(1): 84
    Wang Li, Wu Xiongbin, Ma Ketao, et al. 2016a. Elimination of the impact of vessels on ocean wave height inversion with X-band wave monitoring radar. Chinese Journal of Oceanology and Limnology, 34(5): 1114-1121
    Wang Li, Wu Xiongbin, Pi Xiaoshan, et al. 2015. Numerical simulation and inversion of offshore area depth based on X-band microwave radar. Acta Oceanologica Sinica, 34(3): 108-114
    Wang Li, Wu Xiongbin, Yue Xianchang, et al. 2016b. A novel algorithm in estimating signal-to-noise ratio for ocean wave height inversion from X-band radar images. IEEE Geoscience and Remote Sensing Letters, 13(3): 344-348
    Young I R, Rosenthal W, Ziemer F. 1985. A three-dimensional analysis of marine radar images for the determination of ocean wave directionality and surface currents. Journal of Geophysical Research, 90(C1): 1049-1059
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (873) PDF downloads(664) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return