一种基于目标主导边界的方位角估计算法  

AN EFFICIENT AZIMUTH ESTIMATION ALGORITHM FOR SAR IMAGERY

作　　者：张翠[1] 邹涛[1] 王正志[2] 

机构地区：[1]国防科技大学电子科学与工程学院 [2]国防科技大学机电工程与自动化学院,长沙410073

出　　处：《模式识别与人工智能》2004年第4期462-466,共5页Pattern Recognition and Artificial Intelligence

摘　　要：方位角估计是进行目标识别的重要步骤.本文首先介绍了一种基于CFAR的目标图像分割算法.并讨论了目标区域的抽取问题,然后提出了一种快速有效的方位角估计算法.该算法首先线性拟合目标的距离向主导边界,若直线倾角落在近水平的某个范围内,则拟合方位向主导边界.从拟合直线的倾角可以得到目标方位角.该算法能够检测并去掉主导边界上的毛刺.对分割误差具有一定的鲁棒性.用MSTAR公开数本库中的10类目标进行实验,结果表明该算法具有较高的估计精度.Azimuth estimation is very important for target recognition. Frist, the paper presents a segmentation algorithm based on CFAR technique, and the target region extraction problem is discussed. Then we propose an efficient azimuth estimation algorithm. A linear fit is first performed on the major edge of the range direction. If the obliquity of the fitted line is near horizontal, the linear fit performs on the major edge of the azimuth direction. The target azimuth angle can be obtained from the obliquity of the fitted line. The algorithm can detect and get rid of burrs on the major edge, and is robust to some segmentation errors. By using the MSTAR public data set experimental result shows the efficiency of this algorithm.

关 键 词：SAR图像 图像分割 CFAR检测 方位角估计 主导边界 

分 类 号：TN957.51[电子电信—信号与信息处理]