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http://dx.doi.org/10.9717/kmms.2016.19.8.1377

Wave Information Estimation and Revision Using Linear Regression Model  

Lim, Dong-hee (Dept. of Multimedia Engineering., Hanbat National University)
Kim, Jin-soo (Dept. of Info. & Comm. Engineering, Hanbat National University)
Lee, Byung-Gil (ICT Convergence Security Research Team, ETRI)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1377-1385 More about this Journal
Abstract
Conventional X-band marine radar has been used as one of the effective tools for collecting and retrieving ocean surface information parameters for three decades. Several wave information extracting algorithms have been designed in such a way that they can be utilized for efficiently estimating sea surface wave parameters such as current velocities, wave direction, significant wave heights in VTS (Vessel Traffic Service). However, their performances are still restricted. For the purpose of overcoming the performance limits, in this paper, first the conventional algorithms are analyzed and their performances are compared, and then a new control algorithm is proposed. Furthermore, we try to improve the estimation performances of typical wave parameters including wave directions and significant wave heights by introducing linear regression model in the process of computing wave information extraction. Through several simulations with the X-band radar images, it is shown that the proposed method is very effective in estimating the wave information compared to the real measured buoy data.
Keywords
VTS(Vessel Traffic Service); Linear Regression Model; Wave Information Estimation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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