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Journal Article 선형회귀모델을 이용한 파랑 정보 예측 및 보정
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Authors
임동희, 김진수, 이병길
Issue Date
2016-08
Citation
멀티미디어학회논문지, v.19, no.8, pp.1377-1385
ISSN
1229-7771
Publisher
한국멀티미디어학회
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.9717/kmms.2016.19.8.1377
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.
KSP Keywords
Extracting algorithms, Information Extraction(IE), Linear regression model, Marine radar, Performance limits, Surface wave, Vessel Traffic Service(VTS), Wave direction, X-band radar images, control algorithm, conventional algorithms