摘要
结合合成孔径雷达(synthetic aperture radar,SAR)图像生成特点,提出了一种融合改进区域生长和图割理论的SAR图像分割方法。该方法利用SAR图像成像机理的统计特性,给出了一种区域生长的新准则,用于获取SAR图像初始分割;然后以初始分割区域为顶点、区域间相似度为边权构建一个赋权无向图,运用采用全局信息的最小图割方法(minimum cut,MCut)进行区域合并,获得最终分割结果。新方法具有在图像分割过程中融合了图像的局部信息和全局信息的优点。实验结果表明了新方法的有效性。
An SAR image segmentation method is proposed,which based on the generation characteristics of SAR.Firstly,according to statistical characterisation of SAR images,a new region growing criterion is defined to get the initial image segmentation.Then weighted undirection graph is constructed with the vertexes and the interregional similarity as the edge weight.Finally,the the minimum cut method using the global information is used to combining the regions and get the final segmentation result.The proposed method has the advantage of using both of the local information and global information.The experiment results showed the effectiveness of the approach.
作者
周强锋
ZHOU Qiang-feng(China Airborne Missile Academy,Henan Luoyang 471000,China;Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons,Henan Luoyang 471000,China)
出处
《现代防御技术》
2020年第4期73-77,131,共6页
Modern Defence Technology
关键词
图像分割
合成孔径雷达
区域生长
图论
最小割
Gomory-Hu算法
image segmentation
synthetic aperture radar(SAR)
region growing
graph theory
minimum cut(MCut)
Gomory-Hu algorithm
