ABSTRACT 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.

中文翻译：

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基于卫星SAR图像的海岸线监测系统研究

摘要 本研究开发了一种基于 SAR 的海岸线监测系统，其包括：(i) 选择适合海岸线检测的 SAR 场景；(ii) 从选定场景中提取海岸线；(iii) 估计任意水位的海岸线。第一个模型专注于 ALOS-2 SAR 场景，并确定了用于估计海洋和海滩表面后向散射系数的拟合公式。为了量化场景对海岸线检测的适用性，新引入了一个参数 P。P的值表示海滩处的后向散射系数变得高于海处的后向散射系数的概率，并且证实P合理地指示了用于海岸线检测的场景的适合性。然后基于边缘检测技术开发了海岸线提取技术。应用双边滤波器降低SAR图像的散斑噪声，应用小波变换检测边缘位置。通过将本技术应用于清水和湘南海岸，证实了所提出技术的有效性。最后，引入了一个简单的多项式函数来表示任意水位的海岸线位置。还针对通过图像分析获得的详细数据对所提出技术的适用性进行了测试和验证。