An Algorithm for Surface Current Retrieval from X-band Marine Radar Images

Huang, Weimin and Shen, Chengxi and Gill, Eric William and Carrasco, Ruben and Horstmann, Jochen (2015) An Algorithm for Surface Current Retrieval from X-band Marine Radar Images. Remote Sensing, 7. pp. 7753-7767. ISSN 2072-4292

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Abstract

In this paper, a novel current inversion algorithm from X-band marine radar images is proposed. The routine, for which deep water is assumed, begins with 3-D FFT of the radar image sequence, followed by the extraction of the dispersion shell from the 3-D image spectrum. Next, the dispersion shell is converted to a polar current shell (PCS) using a polar coordinate transformation. After removing outliers along each radial direction of the PCS, a robust sinusoidal curve fitting is applied to the data points along each circumferential direction of the PCS. The angle corresponding to the maximum of the estimated sinusoid function is determined to be the current direction, and the amplitude of this sinusoidal function is the current speed. For validation, the algorithm is tested against both simulated radar images and field data collected by a vertically-polarized X-band system and ground-truthed with measurements from an acoustic Doppler current profiler (ADCP). From the field data, it is observed that when the current speed is less than 0.5 m/s, the root mean square differences between the radar-derived and the ADCP-measured current speed and direction are 7.3 cm/s and 32:7�, respectively. The results indicate that the proposed procedure, unlike most existing current inversion schemes, is not susceptible to high current speeds and circumvents the need to consider aliasing. Meanwhile, the relatively low computational cost makes it an excellent choice in practical marine applications.

Item Type: Article
URI: http://research.library.mun.ca/id/eprint/11664
Item ID: 11664
Additional Information: Memorial University Open Access Author's Fund
Keywords: marine radar, surface current, remote sensing
Department(s): Engineering and Applied Science, Faculty of
Date: 11 June 2015
Date Type: Publication
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