基于广义Gamma分布的高分辨率SAR图像海岸线检测

本文针对高分辨率SAR图像，采用广义Gamma分布（GΓD）对杂波进行建模，在此基础上提出一种基于水平集分割的海岸线检测方法.GΓD是一种高度灵活的经验分布模型，能够对SAR图像不同类型的地物进行有效建模，其参数可由对数累量法估计得到.基于该分布建立能量泛函，并通过水平集方法最小化能量泛函进行海陆分割，得到海岸线检测结果.利用两幅TerraSAR-X实测SAR图像实验证明，该方法可以实现更精确的海岸线检测.

A Coastline Detection Method in High-Resolution SAR Images Based on the Generalized Gamma Distribution

A new level set method has been proposed for coastline detection in high-resolution SAR images based on the generalized Gamma distribution (G Γ D).The G Γ D is a statistical model with high flexibility,which is able to characterize the diversity of scenes in SAR images effectively.The parameter estimation of the G Γ D is realized by the method of log-cumulants.Then the energy functional is formulated based on the G Γ D.The coastline detection is achieved by minimizing the proposed energy functional using the level set segmentation method.Experimental results with measured TerraSAR-X images have demonstrated that the proposed method can obtain more precise coastline detection results.