基于G0分布的SAR图像水边线提取方法

发布时间：2018-04-14 14:23

本文选题：水边线提取 + G分布　；参考：《地理科学》2017年07期

【摘要】：为了更加精准地从合成孔径雷达(SAR)图像中提取水边线,提出基于G0分布的SAR图像水边线提取方法。首先,将SAR图像域划分为大小相等的子块,并假设每个子块内像素强度服从独立同一的G0分布;利用矩估计方法得到对应每个子块的粗糙度和散射性参数;根据设定的参数阈值,可划分出粗略的水域,并确定该区域的几何中心;以该几何中心为圆心,向四周做射线,保留经过陆地区域的射线;利用似然函数确定每条射线上的水-陆分界点,依次连接分界点,进而实现SAR图像水边线提取。采用本文方法,分别对模拟和真实SAR图像进行水边线提取实验。定性和定量结果表明:采用基于G0分布的SAR图像水边线提取方法能够有效地克服斑点噪声的影响。
[Abstract]:In order to extract water edge lines from synthetic Aperture Radar (SAR) images more accurately, a water edge extraction method based on G0 distribution for SAR images is proposed.Firstly, the domain of SAR image is divided into sub-blocks of equal size, and the intensity of pixels in each sub-block is assumed to be in the same independent G0 distribution, and the roughness and scattering parameters of each sub-block are obtained by using the moment estimation method.According to the set parameter threshold, the rough water area can be divided and the geometric center of the region can be determined.The water-land boundary point on each ray is determined by the likelihood function, and the boundary point is connected in turn, and then the water boundary line is extracted from the SAR image.Using the method in this paper, the experiments of water edge extraction for simulated and real SAR images are carried out respectively.The qualitative and quantitative results show that the method of water edge extraction based on G0 distribution can effectively overcome the influence of speckle noise.
【作者单位】：辽宁工程技术大学测绘与地理科学学院遥感科学与应用研究所;
【基金】：国家自然科学基金(41301479、41271435) 辽宁省自然科学基金(2015020090)~~
【分类号】：P332;TN957.52

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