A New Algorithm to Retrieve Wave Parameters From Marine X-Band Radar Image Sequences

被引：40

作者：

Chen, Zhongbiao ^{[1
,2
,3
]}

He, Yijun ^{[2
]}

Zhang, Biao ^{[2
]}

Qiu, Zhongfeng ^{[2
]}

Yin, Baoshu ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China

[2] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China

[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2014年 / 52卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Empirical orthogonal function (EOF); marine X-band radar; maximum entropy spectrum; nearshore wave;

D O I：

10.1109/TGRS.2013.2279547

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A new algorithm to retrieve wave parameters, such as significant wave height (SWH), peak wave period, wavelength, and wave direction, from marine X-band radar image sequences is proposed. To analyze the heterogeneous nearshore wave field, the empirical orthogonal function is used to extract the principal components (PCs) of the radar image sequence. To retrieve the SWH, a linear relationship between SWH and the standard deviation of PC is established. The maximum entropy power spectral density (PSD) of the first PC is used to derive the peak wave period. The PSD on spatial scale is used to estimate two perpendicular components of the wavelength, and then, the wavelength and wave direction are determined by geometric relationship. Inversion schemes are validated by comparing with data from the in situ buoy; the root-mean-square error between the wave parameters retrieved from radar image sequences and measured by the buoy is 0.21 m for SWH and 0.84 s for the peak wave period, and the biases for these are 0.01 m and 0.33 s.

引用

页码：4083 / 4091

页数：9

共 22 条

[11]

Holman R.A., 1993, Oceanography, V6, P78, DOI [10.5670/OCEANOG.1993.02, DOI 10.5670/OCEANOG.1993.02]

[12] Wind Retrieval From Shipborne Nautical X-Band Radar Data [J].

Lund, Bjoern ;

Graber, Hans C. ;

Romeiser, Roland .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (10) :3800-3811

[13] Empirical Orthogonal Functions: The Medium is the Message [J].

Monahan, Adam H. ;

Fyfe, John C. ;

Ambaum, Maarten H. P. ;

Stephenson, David B. ;

North, Gerald R. .

JOURNAL OF CLIMATE, 2009, 22 (24) :6501-6514

[14]

MULALLY D, 1993, PROCEEDINGS OF THE 36TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, P578, DOI 10.1109/MWSCAS.1993.342980

[15] Signal-to-noise ratio analysis heights from X-band marine to estimate ocean wave radar image time series [J].

Nieto-Borge, J. C. ;

Hessner, K. ;

Jarabo-Amores, P. ;

de la Mata-Moya, D. .

IET RADAR SONAR AND NAVIGATION, 2008, 2 (01) :35-41

[16]

NORTH GR, 1982, MON WEATHER REV, V110, P699, DOI 10.1175/1520-0493(1982)110<0699:SEITEO>2.0.CO

[17]

[18] 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) [J].

Senet, Christian M. ;

Seemann, Joerg ;

Flampouris, Stylianos ;

Ziemer, Friedwart .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (08) :2267-2279

[19] Ocean remotely sensed image analysis using two-dimensional continuous wavelet transforms [J].

Wu, Li-Chung ;

Chuang, Laurence Zsu-Hsin ;

Doong, Dong-Jiing ;

Kao, Chia Chuen .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (23) :8779-8798

[20] Quantification of non-homogeneity from ocean remote-sensing images using two-dimensional continuous wavelet transforms [J].

Wu, Li-Chung ;

Chuang, Laurence Zsu-Hsin ;

Doong, Dong-Jiing ;

Kao, Chia Chuen .

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (05) :1303-1318

← 1 2 3 →