A curvelet-based method to determine wave directions from nautical X-band radar images

ZHA Guozhen; HE Qingyou; GUAN Changlong; CHEN Jitao

doi:10.1007/s13131-018-1154-z

一种新的从船用X波段雷达图像中确定波向的方法

doi: 10.1007/s13131-018-1154-z

1.
中国海洋大学海洋与大气学院, 青岛, 266100
2.
中国科学院南海海洋研究所热带海洋环境国家重点实验室, 广州, 510301
3.
中国海洋大学海洋与大气学院, 青岛, 266100;中国海洋大学物理海洋实验室, 青岛, 266100
4.
黄河水利委员会水文局, 郑州, 450004

计量
- 文章访问数: 1115
- HTML全文浏览量: 64
- PDF下载量: 442
- 被引次数: 0
出版历程
- 收稿日期: 2017-08-10

A curvelet-based method to determine wave directions from nautical X-band radar images

1.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
2.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Science, Guangzhou 510301, China
3.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China
4.
Hydrology Bureau of Yellow River Conservancy Commission, Zhengzhou 450004, China

摘要

摘要: 船用X波段雷达被广泛应用于海洋表面波观测和研究。本文给出了一种新的从船用X波段雷达图像中确定主波传播方向的方法。X波段雷达图像中的海浪信号具有明显的尺度性和方向性。同时，curvelet变换作为一种同时具备尺度分辨率和方向分辨率的数学变换，能够对一幅雷达图像在不同尺度、不同方向和不同位置上进行分析。对一幅雷达图像进行curvelet分解并获得curvelet系数后，波浪信号主要集中在某些特定尺度和方向的curvelet系数中，从而我们可以获得带有方向模糊的波传播方向。进而，通过计算几幅连续采集图像的互相关系数可以消除方向模糊。同步观测的雷达图像和浮标数据证明了该方法的有效性。
- Curvelet变换 /
- X波段雷达 /
- 海浪 /
- 波向
Abstract: A new method to determine wave directions from nautical X-band images is proposed. The signatures of ocean waves show obvious scale and directional characteristics in nautical X-band radar images. Curvelet transform (CT) possesses very high scale and directional sensitivities. Therefore, it has good capability to analyze ocean wave fields. The radar images are decomposed at different scales, in different directions, and at different positions by CT, and curvelet coefficients are obtained. Given to the scale and directional characteristics of surface waves, the information of ocean waves is centralized in the curvelet coefficients of certain directions and at certain scales. Therefore, the wave orientations can be determined. The 180 ambiguity is removed by calculating cross-correlation coefficients (CCCs) between continuous collected images. The proposed method is verified by the dataset collected on the Northwest coast of the Zhangzi Island in the Yellow Sea of China from March to April 2009.
- X-band radar /
- wave direction /
- surface wave /
- curvelet transform

HTML全文

参考文献(40)

Alpers W R, Ross D B, Rufenach C L. 1981. On the detectability of ocean surface waves by real and synthetic aperture radar. Journal of Geophysical Research, 86(7): 6481-6498

An Jiaqi, Huang Weimin, Gill E W. 2015. A self-adaptive wavelet-based algorithm for wave measurement using nautical radar. IEEE Transactions on Geoscience and Remote Sensing, 53(1): 567-577

Atanassov V, Rosenthal W, Ziemer F. 1985. Removal of ambiguity of two-dimensional power spectra obtained by processing ship radar images of ocean waves. Journal of Geophysical Research, 90(C1): 1061-1067

Bell P S. 1999. Shallow water bathymetry derived from an analysis of X-band marine radar images of waves. Coastal Engineering, 37(3-4): 513-527

Candès E J, Donoho D L. 2004. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities. Communications on Pure and Applied Mathematics, 57(2): 219-266

Candès E J, Demanet L, Donoho D L, et al. 2006. Fast discrete curvelet transform. Multiscale Modeling and Simulation, 5(3): 861-899

Catalan P A, Haller M C, Holman R A, et al. 2011. Optical and microwave detection of wave breaking in the surf zone. IEEE Transactions on Geoscience and Remote Sensing, 49(6): 1879-1893

Chandler R C. 2005. A wavelet based method for the extraction of sea wave orientation. In: Proceeding of MTS/IEEE OCEANS 2005. Washington, DC: IEEE, 1: 369-374

Chen Zhongbiao, He Yijun, Zhang Biao, et al. 2014a. A New algorithm to retrieve wave parameters from marine X-band radar image sequences. IEEE Transactions on Geoscience and Remote Sensing, 52(7): 4083-4091

Chen Zhongbiao, He Yijun, Zhang Biao, et al. 2014b. A new method to retrieve significant wave height from X-band marine radar image sequences. International Journal of Remote Sensing, 35(11-12): 4559-4571

Chen Zhongbiao, Zhang Biao, He Yijun, et al. 2015. A new modulation transfer function for ocean wave spectra retrieval from X-band marine radar imagery. Chinese Journal of Oceanology and Limnology, 33(5): 1132-1141

Chuang Z H L, Wu L C, Doong D J, et al. 2008. Two-dimensional continuous wavelet transform of simulated spatial images of waves on a slowly varying topography. Ocean Engineering, 35(10): 1039-1051

Cui Limin, He Yijun, Shen Hui, et al. 2010. Measurements of ocean wave and current field using dual polarized X-band radar. Chinese Journal of Oceanology and Limnology, 28(5): 1021-1028

Dankert H, Horstmann J, Rosenthal W. 2003. Ocean wind fields retrieved from radar-image sequences. Journal of Geophysical Research, 108(C11): 3352

Doong D J, Wu L C, Kao C C. 2006. Spatial wave fields extracted from marine radar images by wavelet transform. In: Third Chinese-German Joint Symposium on Coastal and Ocean Engineering. Tainan: National Cheng Kung University

Feng Xiangbo, Yan Yixin, Zhang Wei. 2011. Application of two-dimensional wavelet transform in near-shore X-band radar images. Journal of Hydrodynamics, Series B, 23(2): 179-186

Gan Xilin, Huang Weigen, Yang Jinsong, et al. 2007. A new method to extract internal wave parameters from SAR imagery with Hilbert-Huang transfrom. Journal of Remote Sensing (in Chinese), 11(1): 39-47

Gangeskar R. 2002. Ocean current estimated from X-band radar sea surface, images. IEEE Transactions on Geoscience and Remote Sensing, 40(4): 783-792

Hessner K, Reichert K, Dittmer J, et al. 2001. Evaluation of WaMos Ⅱ wave data. In: Fourth International Symposium on Ocean Wave Measurement and Analysis. San Francisco, United States: ASCE, 221-230

Hoogeboom P, Rosenthal W. 1982. Directional wave spectra in radar images. In: International Geoscience and Remote Sensing Symposium. Munich, Germany: IEEE Geoscience and Remote Sensing Society

Lee P H Y, Barter J D, Beach K L, et al. 1995. X band microwave backscattering from ocean waves. Journal of Geophysical Research, 100(C2): 2591-2611

Lund B, Graber H C, Romeiser R. 2012. Wind retrieval from shipborne nautical X-band radar data. IEEE Transactions on Geoscience and Remote Sensing, 50(10): 3800-3811

Ma Jianwei, Plonka G. 2007. Combined curvelet shrinkage and nonlinear anisotropic diffusion. IEEE Transactions on Image Processing, 16(9): 2198-2206

Nieto Borge J C, Rodríguez G R, Hessner K, et al. 2004. Inversion of marine radar images for surface wave analysis. Journal of Atmospheric and Oceanic Technology, 21(8): 1291-1300

Nieto Borge J C, Soares C G. 2000. Analysis of directional wave fields using X-band navigation radar. Coastal Engineering, 40(4): 375-391

Nwogu O G, Lyzenga D R. 2010. Surface-wavefield estimation from coherent marine radars. IEEE Geoscience and Remote Sensing Letters, 7(4): 631-635

Plant W J, Keller W C. 1990. Evidence of Bragg scattering in microwave Doppler spectra of sea return. Journal of Geophysical Research, 95(C9): 16299-16310

Seemann J, Ziemer F, Senet C M. 1997. A method for computing calibrated ocean wave spectra from measurements with a nautical X-band radar. In: Proceeding of MTS/IEEE Conference on OCEANS'97. V2 Halifax, NS: IEEE, 1148-1154

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

Trizna D B. 2011. Coherent marine radar measurements of ocean surface currents and directional wave spectra. In: Proceeding of OCEANS 2011 IEEE-Spain. Santander: IEEE, 1-5

Wang Fuyou, Yuan Gannan, Lu Zhizhong. 2007. Investigation of real-time wave height measurement using X-band navigation radar. In: 2007 International Conference on Wireless Communications, Networking and Mobile Computing. Shanghai, China: IEEE, 980-983

Wang Jian, Duan Huamin. 2010. Ocean surface wind fields retrieved from X-band radar images. Ocean Technology (in Chinese), 29(3): 5-8

Wang Li, Wu Xiongbin, Pi Xiaoshan, et al. 2015a. Numerical simulation and inversion of offshore area depth based on X-band microwave radar. Acta Oceanologica Sinica, 34(3): 108-114

Wang Yunhua, Li Huimin, Zhang Yanmin, et al. 2015b. The measurement of sea surface profile with X-band coherent marine radar. Acta Oceanologica Sinica, 34(9): 65-70

Wright F F. 1965. Wave observation by shipboard radar. Ocean Science and Ocean Engineering, 1: 506-514

Wu L C, Chuang L Z H, Doong D J, et al. 2011a. Ocean remotely sensed image analysis using two-dimensional continuous wavelet transforms. International Journal of Remote Sensing, 32(23): 8779-8798

Wu L C, Chuang L Z H, Doong D J, et al. 2011b. Quantification of non-homogeneity from ocean remote sensing images using two-dimensional continuous wavelet transforms. International Journal of Remote Sensing, 32(5): 1303-1318

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

Ziemer F, Gunther H. 1994. A system to monitor ocean wave fields. In: Proceedings of the Second International Conference on Air-Sea Interaction and Meteorology and Oceanography of the Coastal Zone. Lisbon, Portugal: American Meteorological Society, 18-19

Ziemer F, Rosenthal W, Carlson H. 1983. Measurements of directional wave spectra by ship radar. In: Proceedings of General Assembly Association Physics and Science of Oceans. Hamburg, Germany

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 1115
HTML全文浏览量: 64
PDF下载量: 442
被引次数: 0

一种新的从船用X波段雷达图像中确定波向的方法

doi: 10.1007/s13131-018-1154-z

计量

出版历程

A curvelet-based method to determine wave directions from nautical X-band radar images

计量

出版历程

目录