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A platform for research: civil engineering, architecture and urbanism
Study on shoreline monitoring system based on satellite SAR imagery
The present study develops a SAR-based shoreline monitoring system which consists of: (i) selection of SAR scenes suitable for shoreline detection; (ii) extraction of shoreline from the selected scenes; and (iii) estimation of the shoreline at arbitrary water level. The first model focused on ALOS-2 SAR scenes and determined fitting formulae for estimation of the backscattering coefficients at a sea and a beach surfaces. To quantify the suitability of scenes for shoreline detection, a parameter, P, was newly introduced. The value of P represents a probability at which a backscattering coefficient at a beach becomes higher than the one at a sea and it was confirmed that P reasonably indicates suitability of scenes for shoreline detection. A shoreline extraction technique was then developed based on the edge detection technique. Bilateral filter was applied to reduce the speckle noise of SAR images and wavelet transform was applied to detect the edge location. Validity of the proposed technique was confirmed through application of the present technique to Shimizu and Shonan coasts. Finally, a simple polynomial function was introduced to represent the shoreline location at arbitrary water level. Applicability of the proposed technique was also tested and validated against the detailed data obtained by image analysis.
Study on shoreline monitoring system based on satellite SAR imagery
The present study develops a SAR-based shoreline monitoring system which consists of: (i) selection of SAR scenes suitable for shoreline detection; (ii) extraction of shoreline from the selected scenes; and (iii) estimation of the shoreline at arbitrary water level. The first model focused on ALOS-2 SAR scenes and determined fitting formulae for estimation of the backscattering coefficients at a sea and a beach surfaces. To quantify the suitability of scenes for shoreline detection, a parameter, P, was newly introduced. The value of P represents a probability at which a backscattering coefficient at a beach becomes higher than the one at a sea and it was confirmed that P reasonably indicates suitability of scenes for shoreline detection. A shoreline extraction technique was then developed based on the edge detection technique. Bilateral filter was applied to reduce the speckle noise of SAR images and wavelet transform was applied to detect the edge location. Validity of the proposed technique was confirmed through application of the present technique to Shimizu and Shonan coasts. Finally, a simple polynomial function was introduced to represent the shoreline location at arbitrary water level. Applicability of the proposed technique was also tested and validated against the detailed data obtained by image analysis.
Study on shoreline monitoring system based on satellite SAR imagery
Tajima, Yoshimitsu (author) / Wu, Lianhui (author) / Fuse, Takashi (author) / Shimozono, Takenori (author) / Sato, Shinji (author)
Coastal Engineering Journal ; 61 ; 401-421
2019-07-03
21 pages
Article (Journal)
Electronic Resource
English