Estimation of Sea Surface Current from X-Band Marine Radar Images by Cross-Spectrum Analysis
1
School of Marine Sciences, Jiangsu Engineering Technology Research Center of Marine Environment Detection, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
Satellite Oceanography Laboratory, Russian State Hydrometeorological University, St. Petersburg 195196, Russia
3
South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 1031; https://0-doi-org.brum.beds.ac.uk/10.3390/rs11091031
Received: 19 March 2019
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Revised: 20 April 2019
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Accepted: 29 April 2019
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Published: 30 April 2019
(This article belongs to the Special Issue Synthetic Aperture Radar Observations of Marine Coastal Environments)
The cross-spectral correlation approach has been used to estimate the wave spectrum from optical and radar images. This work aims to improve the cross-spectral approach to derive current velocity from the X-band marine radar image sequence, and evaluate the application conditions of the method. To reduce the dependency of gray levels on range and azimuth, radar images are preprocessed by the contrast-limited adaptive histogram equalization. Two-dimensional cross-spectral coherence and phase are derived from neighboring X-band marine radar images, and the phases with large coherences are used to estimate the phase velocity and angular frequency of waves, which are first fitted with the theoretical dispersion relation by different least square models, and then the current velocity can be determined. Compared with the current velocities measured by a current meter, the root-mean-square error, correlation coefficient, bias, and relative error are 0.15 m/s. 0.88, –0.05 m/s, and 7.79% for the north-south velocity, and 0.14 m/s, 0.86, 0.06 m/s, and 10.75% for the east-west velocity in the experimental area, respectively. The preprocessing, critical coherence, and the number of images for applying the cross-spectral approach, are discussed.
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Keywords:
X-band marine radar; sea surface current; nearshore; cross-spectrum
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MDPI and ACS Style
Chen, Z.; Zhang, B.; Kudryavtsev, V.; He, Y.; Chu, X. Estimation of Sea Surface Current from X-Band Marine Radar Images by Cross-Spectrum Analysis. Remote Sens. 2019, 11, 1031. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11091031
AMA Style
Chen Z, Zhang B, Kudryavtsev V, He Y, Chu X. Estimation of Sea Surface Current from X-Band Marine Radar Images by Cross-Spectrum Analysis. Remote Sensing. 2019; 11(9):1031. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11091031
Chicago/Turabian StyleChen, Zhongbiao, Biao Zhang, Vladimir Kudryavtsev, Yijun He, and Xiaoqing Chu. 2019. "Estimation of Sea Surface Current from X-Band Marine Radar Images by Cross-Spectrum Analysis" Remote Sensing 11, no. 9: 1031. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11091031
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