摘要
具有一定旋转角的城区建筑在极化合成孔径雷达（Pol SAR）的图像里有过多的体散射分量,需要对其进行极化定向角补偿。针对Pol SAR处理中城区的定向角补偿区域检测问题,提出了定向角图检测法。首先对原始极化图像做极化相干斑滤波,再用Lee方法得到定向角估计结果,接着利用不同地物之间定向角的随机性区分出随机性强的植被区域和随机性弱的建筑区域及表面散射区域,最后用Pauli分解的Red分量排除表面散射区,得到待补偿的建筑区域。用RADARSAT-2在San Francisco地区的极化数据演示了算法流程,处理结果验证了算法的有效性。
In a Pol SAR image,oriented build-up areas appear to have overestimated volume scattering component,thus,orientation angle compensation（ OAC） is needed. To solve the OAC area detection problem,in this paper,orientation angle detection method（ OADM） is proposed. First,a polarimetric speckle filter is applied to the original polarimetric images,using Lee method,the orientation angle map（ OAM） is estimated. Then,with the randomicity of different scattering types,volume scatters which OAM trend to be more random are distinguished from buildings and surface scatters. Finally,surface scatters are marked using the Red component of the Pauli decomposition,and the areas to be compensated is obtained. The validity of the proposed OADM is demonstrated using the RADARSAT-2 San Francisco pol SAR data set.
作者
黄龙
刘爱芳
徐辉
徐一凡
Huang Long;Liu Aifang;Xu Hui;Xu Yifan(Nanjing Research Institute of Electronics Technology, Southeast University, Nanjing 210096, China)
出处
《电子测量技术》
2018年第2期41-44,共4页
Electronic Measurement Technology
关键词
合成孔径雷达
雷达极化
目标分解
定向角
SAR
radar polarimetry
target decomposition
orientation angle
