DocumentCode
641710
Title
An alternative algorithm for wave information extraction from X-band nautical radar images
Author
Weimin Huang ; Gill, Eric W.
Author_Institution
Fac. of Eng. & Appl. Sci., Memorial Univ., St. John´s, NL, Canada
fYear
2013
fDate
14-16 April 2013
Firstpage
1
Lastpage
5
Abstract
A new algorithm is presented to extract ocean wave information from X-band nautical radar images. Based on the iterative least-squares (LS) current method in which the samples of the image spectra are classified as the contributions from fundamental, first-order harmonic, and higher harmonics waves or noise, the proposed algorithm uses the classified fundamental and first-order harmonic wave components for wave spectra and parameter retrieval directly. Unlike the previous wave analysis in which a band-pass filter is required subsequently to eliminate the non-wave contributions after current velocity is obtained, the proposed algorithm simplifies the wave retrieval without such a bandpass filter. Harmonic wave components are also accounted for in the wave retrieval process. This algorithm is applied to both simulated and field radar images, and results from both types of data show that this modified wave algorithm is effective.
Keywords
geophysical image processing; image denoising; image retrieval; information retrieval; iterative methods; least squares approximations; marine engineering; marine radar; ocean waves; oceanographic techniques; radar computing; radar imaging; first-order harmonic wave components; fundamental harmonic wave components; higher harmonics waves; image spectra; iterative least-squares current method; nonwave contribution elimination; ocean wave information extraction; parameter retrieval; wave retrieval process; wave spectra; x-band nautical radar images; Nautical radar images; wave spectrum;
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference 2013, IET International
Conference_Location
Xi´an
Electronic_ISBN
978-1-84919-603-1
Type
conf
DOI
10.1049/cp.2013.0298
Filename
6624462
Link To Document