摘要
主导边界是合成孔径雷达(SAR)图像车辆目标方位角估计中最主要的特征。为了充分利用主导边界的特点能够提高方位角估计的效率和准确率,深入分析了主导边界特点,提出目标的三类主导边界的概念,并且提出了一种快速有效地目标方位角估计思路,结合SAR图像在0°或180°附近几类主导边界的规律来解决该角度附近的模糊问题,得到了一种简单高效的方位角估计方法。最后利用MSTAR数据做了仿真验证实验,证明该方法的有效性。
The leading contour method is the most important feature for the vehicle target aspect estimation in the synthetic aperture radar image. Making full use of the leading contour, the method for vehicle target aspect estimation can be more accurate and efficient. This paper analyzes how to use the leading contour in the aspect estimation, and presents a new way to estimate the aspect fast, which is associated with the Radon transformation which is introduced to eliminate the ambiguity of the aspect estimation at a horizontal or vertical angle. The simulation experiment is made using MSTAR pubic target database, and the results show that the method can get accurate targets aspect estimate region.
出处
《现代电子技术》
2012年第19期37-40,共4页
Modern Electronics Technique
关键词
合成孔径雷达
主导边界
方位角估计
RADON变换
synthetic aperture radar （SAN） leading contours aspect estimation Radon trasformation
