基于广义Gamma分布的高分辨率SAR图像海岸线检测  

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

作　　者：王彬[1,2] 王国宇[1] WANG Bin;WANG Guo-yu(College of Information Science&Engineering,Ocean University of China,Qingdao,Shandong 266100,China;School of Information Science&Technology,Qingdao University of Science&Technology,Qingdao,Shandong 266061,China)

机构地区：[1]中国海洋大学信息科学与工程学院,山东青岛266100 [2]青岛科技大学信息科学技术学院,山东青岛266061

出　　处：《电子学报》2018年第4期827-833,共7页Acta Electronica Sinica

摘　　要：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Terra SAR-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 new level set method has been proposed for coastline detection in high-resolution SAR images based on the generalized Gamma distribution(GΓD).The GΓ[WTB1]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 GΓD isrealized bythe method of log-cumulants.Then the energy functional is formulated based onthe GΓD.The coastline detection is achieved by minimizing the proposed energyfunctional using the level set segmentation method.Experimental results with measured TerraSAR-X images have demonstrated that the proposed method can obtainmore precise coastline detection results.

关 键 词：合成孔径雷达 广义Gamma分布 水平集 海岸线检测 

分 类 号：TN957.52[电子电信—信号与信息处理]