TY - JOUR
T1 - Coastal monitoring program of bathymetry using video images technique
AU - Zikra, Muhammad
AU - Hashimoto, Noriaki
N1 - Publisher Copyright:
© 2018 The Authors, published by EDP Sciences.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/7/4
Y1 - 2018/7/4
N2 - The objective of this research is to investigate the capabilities of optical remote sensing to monitor bathymetry in nearshore area using video images. The technique is designed to extract wave number components based on variation of intensity of brightness at each pixel in the images using cross-spectral correlation approach. This approach is based on pixel array analysis that utilizes a nonlinear inverse method 'Levenberg-Marquardt'. The technique is applied to the data collected at Hasaki beach in Japan from August to December 2006. The results indicate that the estimate of nearshore bathymetry is proved reasonable accurate near shoreline and breaking area where the differences between estimated and survey water depth are less than 10-30 cm.
AB - The objective of this research is to investigate the capabilities of optical remote sensing to monitor bathymetry in nearshore area using video images. The technique is designed to extract wave number components based on variation of intensity of brightness at each pixel in the images using cross-spectral correlation approach. This approach is based on pixel array analysis that utilizes a nonlinear inverse method 'Levenberg-Marquardt'. The technique is applied to the data collected at Hasaki beach in Japan from August to December 2006. The results indicate that the estimate of nearshore bathymetry is proved reasonable accurate near shoreline and breaking area where the differences between estimated and survey water depth are less than 10-30 cm.
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U2 - 10.1051/matecconf/201817701008
DO - 10.1051/matecconf/201817701008
M3 - Conference article
AN - SCOPUS:85055343120
VL - 177
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
SN - 2261-236X
M1 - 01008
T2 - 5th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management, ISOCEEN 2017
Y2 - 8 November 2017
ER -