TY - JOUR
T1 - Directional wave spectra from video images data and SWAN model
AU - Zikra, Muhammad
AU - Hashimoto, Noriaki
AU - Yamashiro, Masaru
AU - Suzuki, Kojiro
N1 - Publisher Copyright:
© 2015 Penerbit UTM Press. All rights reserved.
PY - 2015
Y1 - 2015
N2 - In this paper, analysis of directional wave spectra in shallow water area estimated by video images data has been compared with numerical model of SWAN. Estimation of directional wave spectra from video images is based on the Bayesian Directional Method using a group of pixels brightness on the image. For this study, the pixels can be considered equivalent to fixed instruments as wave probe sensor after rectification process. The results show that there is a good agreement between directional wave spectra estimated by video images data and the SWAN model. Both methods estimate similar shape of directional wave spectra in the shallow water. In addition, the energy distribution of directional wave spectra in shallow water is concentrated significantly in frequency and direction.
AB - In this paper, analysis of directional wave spectra in shallow water area estimated by video images data has been compared with numerical model of SWAN. Estimation of directional wave spectra from video images is based on the Bayesian Directional Method using a group of pixels brightness on the image. For this study, the pixels can be considered equivalent to fixed instruments as wave probe sensor after rectification process. The results show that there is a good agreement between directional wave spectra estimated by video images data and the SWAN model. Both methods estimate similar shape of directional wave spectra in the shallow water. In addition, the energy distribution of directional wave spectra in shallow water is concentrated significantly in frequency and direction.
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U2 - 10.11113/jt.v74.4651
DO - 10.11113/jt.v74.4651
M3 - Article
AN - SCOPUS:84930022908
SN - 0127-9696
VL - 74
SP - 115
EP - 120
JO - Jurnal Teknologi (Sciences and Engineering)
JF - Jurnal Teknologi (Sciences and Engineering)
IS - 5
ER -