DocumentCode
10575
Title
A New Algorithm to Retrieve Wave Parameters From Marine X-Band Radar Image Sequences
Author
Zhongbiao Chen ; Yijun He ; Biao Zhang ; Zhongfeng Qiu ; Baoshu Yin
Author_Institution
Inst. of Oceanol., Qingdao, China
Volume
52
Issue
7
fYear
2014
fDate
Jul-14
Firstpage
4083
Lastpage
4091
Abstract
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.
Keywords
image sequences; marine radar; ocean waves; oceanographic techniques; principal component analysis; radar imaging; PSD; SWH retrieval; empirical orthogonal function; geometric relationship; heterogeneous nearshore wave field analysis; inversion scheme; marine X-band radar image sequences; maximum entropy power spectral density; peak wave period; principal component extraction; root-mean-square error; significant wave height; standard deviation; wave direction; wave parameter retrieval; wave parameters; wavelength; Image sequences; Radar antennas; Radar imaging; Radar measurements; Radar remote sensing; Sea measurements; Empirical orthogonal function (EOF); marine X-band radar; maximum entropy spectrum; nearshore wave;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2013.2279547
Filename
6600907
Link To Document