Abstract
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.
Highlights
Bathymetry information is very important for coastal and marine engineers to understand the coastal process in nearshore area
1 Di, j,mkm, f cos m, f where f is wave frequency, ∆x is spacing between pixels, D is design matrix defined on both sample domain (xi, xj), α and k as unknown model parameters
An algorithm for video images sequence analysis was presented to monitor bathymetry in near shore area using non-linear inversion method to convert image pixel brightness values into depth estimates
Summary
Bathymetry information is very important for coastal and marine engineers to understand the coastal process in nearshore area. Some nearshore activities such as recreation, fishing, navigation, beach nourishment and dredging require the knowledge of bathymetry. The invention of new digital technology of images form video camera system can provide and improve an additional capability of automated data collection [5]. This automated data collections have much greater range of time and spatial scales. This technology is suitable for measuring hazardous coastal areas such as surf zone area, where the operations of ship vehicle have limitation on maneuvers
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