DocumentCode :
494362
Title :
Ocean Surface Currents Determination from X-Band Radar Image Sequences
Author :
Tang, Yanhong ; Hao, Yanling ; Lu, Zhizhong
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin
Volume :
1
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
320
Lastpage :
323
Abstract :
An algorithm for retrieving ocean surface currents using nautical radar-image sequences is presented in this paper. The image sequences are acquired by common marine X-Band radar. With the Fast Fourier Transformation the image sequences are transformed to the wave number frequency domain and produce a three dimensional image power spectrum. In the absence of the sensorpsilas velocity and the near surface current the spectral energy in this three-dimensional wave number frequency space will lie on a shell defined by the dispersion relationship. Any deviation from the expected dispersion relationship can be interpreted as a current induced Doppler shift of the wave frequency. A weighted least squares curve fitting technique is used to determine the surface current. For validation of the algorithm, the surface current derived from the inverted radar data sets and from ground truth data are compared. It is shown that the radar-retrieved surface currents are within the accuracy of the conventional instrumentation.
Keywords :
Doppler shift; curve fitting; fast Fourier transforms; frequency-domain analysis; geophysical signal processing; image sequences; least squares approximations; marine radar; oceanographic techniques; radar imaging; remote sensing by radar; Doppler shift; X-band nautical radar image sequence; fast Fourier transformation; marine X-Band radar; ocean surface current determination; three dimensional image power spectrum; wave number frequency domain; weighted least square curve fitting technique; Dispersion; Doppler shift; Frequency domain analysis; Image sequences; Least squares methods; Oceans; Radar imaging; Sea surface; Surface fitting; Surface waves; Current; Image spectrum analysis; Marine radar; Remote sensing; Weighted least square algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.46
Filename :
5070161
Link To Document :
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