Analysis of directional wave spectra in shallow water areas using video image data

Muhammad Zikra; Noriaki Hashimoto; Masaru Yamashiro; Masaki Yokota; Kojiro Suzuki

doi:10.1142/S0578563412500209

Analysis of directional wave spectra in shallow water areas using video image data

Muhammad Zikra^*, Noriaki Hashimoto, Masaru Yamashiro, Masaki Yokota, Kojiro Suzuki

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

In this study, a technique for analyzing directional wave spectra in shallow water areas using video image sequences is presented. The video image was obtained and collected by a single digital video camera. The technique was based on time series of the pixel brightness on video images. The pixel can be treated as a fixed instruments through use of the rectification process. The extended maximum likelihood method and the Bayesian directional method were used to estimate directional wave spectra using two different configurations of arrays from pixel brightness on video images. The study examined video image data at HORS pier on Hasaki Beach, Japan. The results indicate that video image data could be used to estimate surface wave spectra in very shallow water areas.

Original language	English
Article number	1250020
Journal	Coastal Engineering Journal
Volume	54
Issue number	3
DOIs	https://doi.org/10.1142/S0578563412500209
Publication status	Published - Sept 2012

Keywords

Directional wave spectra
pixel brightness
shallow water
video images

Access to Document

10.1142/S0578563412500209

Cite this

@article{427af6aba7d94a9588498f705e26ee31,

title = "Analysis of directional wave spectra in shallow water areas using video image data",

abstract = "In this study, a technique for analyzing directional wave spectra in shallow water areas using video image sequences is presented. The video image was obtained and collected by a single digital video camera. The technique was based on time series of the pixel brightness on video images. The pixel can be treated as a fixed instruments through use of the rectification process. The extended maximum likelihood method and the Bayesian directional method were used to estimate directional wave spectra using two different configurations of arrays from pixel brightness on video images. The study examined video image data at HORS pier on Hasaki Beach, Japan. The results indicate that video image data could be used to estimate surface wave spectra in very shallow water areas.",

keywords = "Directional wave spectra, pixel brightness, shallow water, video images",

author = "Muhammad Zikra and Noriaki Hashimoto and Masaru Yamashiro and Masaki Yokota and Kojiro Suzuki",

note = "Funding Information: The authors wish to thank Port and Airport Research Institute (PARI), Japan for their data support during this study. This work was partly supported by Grant-in-Aid for Scientific Research (No. 23360216) from the Japan Society for Promotion of Science (JSPS). Personally, I would also like to acknowledge a scholarship provided by Ditjen Pendidikan Tinggi (DIKTI), Indonesia.",

year = "2012",

month = sep,

doi = "10.1142/S0578563412500209",

language = "English",

volume = "54",

journal = "Coastal Engineering Journal",

issn = "2166-4250",

publisher = "Taylor and Francis Ltd.",

number = "3",

}

TY - JOUR

T1 - Analysis of directional wave spectra in shallow water areas using video image data

AU - Zikra, Muhammad

AU - Hashimoto, Noriaki

AU - Yamashiro, Masaru

AU - Yokota, Masaki

AU - Suzuki, Kojiro

N1 - Funding Information: The authors wish to thank Port and Airport Research Institute (PARI), Japan for their data support during this study. This work was partly supported by Grant-in-Aid for Scientific Research (No. 23360216) from the Japan Society for Promotion of Science (JSPS). Personally, I would also like to acknowledge a scholarship provided by Ditjen Pendidikan Tinggi (DIKTI), Indonesia.

PY - 2012/9

Y1 - 2012/9

N2 - In this study, a technique for analyzing directional wave spectra in shallow water areas using video image sequences is presented. The video image was obtained and collected by a single digital video camera. The technique was based on time series of the pixel brightness on video images. The pixel can be treated as a fixed instruments through use of the rectification process. The extended maximum likelihood method and the Bayesian directional method were used to estimate directional wave spectra using two different configurations of arrays from pixel brightness on video images. The study examined video image data at HORS pier on Hasaki Beach, Japan. The results indicate that video image data could be used to estimate surface wave spectra in very shallow water areas.

AB - In this study, a technique for analyzing directional wave spectra in shallow water areas using video image sequences is presented. The video image was obtained and collected by a single digital video camera. The technique was based on time series of the pixel brightness on video images. The pixel can be treated as a fixed instruments through use of the rectification process. The extended maximum likelihood method and the Bayesian directional method were used to estimate directional wave spectra using two different configurations of arrays from pixel brightness on video images. The study examined video image data at HORS pier on Hasaki Beach, Japan. The results indicate that video image data could be used to estimate surface wave spectra in very shallow water areas.

KW - Directional wave spectra

KW - pixel brightness

KW - shallow water

KW - video images

UR - http://www.scopus.com/inward/record.url?scp=84867001729&partnerID=8YFLogxK

U2 - 10.1142/S0578563412500209

DO - 10.1142/S0578563412500209

M3 - Article

AN - SCOPUS:84867001729

SN - 2166-4250

VL - 54

JO - Coastal Engineering Journal

JF - Coastal Engineering Journal

IS - 3

M1 - 1250020

ER -

Analysis of directional wave spectra in shallow water areas using video image data

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this