摘要
空间目标姿态估计是有效实现基于ISAR图像空间目标识别的重要前提。本文针对利用卫星太阳能电池板的线特征的二维投影进行姿态估计时,线特征投影的检测误差会严重影响姿态估计精度这一问题,提出一种基于线特征差分投影的空间目标姿态估计方法。该法利用DP(Douglas-Peucker)算法检测线特征在ISAR图像中的投影,通过建立线特征在实测ISAR图像和姿态估计值下的仿真图像中的二维差分投影,将线特征投影检测的绝对误差转化成相对误差,有效减小了线特征投影的检测误差对姿态估计的影响;同时,利用差分投影求取姿态估计的修正量,形成姿态估计的优化迭代过程,不断提高姿态估计精度。仿真实验验证了方法的可靠性与有效性。
The pose estimation of space target is the inevitable premise to realize the space target recognition based on ISAR image. To deal with the degraded estimating accuracy caused by the linear feature detecting errors,which is a common problem for most of the existing methods estimating satellite pose with the linear features projection of its solar panels,this paper proposes a pose estimation method based on the linear features differencing projection. Firstly,DP method is used to detect the linear features＇ projections at the ISAR image. Then the differencing projections of linear features are constructed between the real pose ISAR image with measured data and the estimated pose ISAR image with simulated data,which transforms the absolute errors to relative errors,and thus relieves the detecting errors＇ effects on pose estimation effectively.Meanwhile,the differencing projection is also used to correct the pose estimation iteratively,and thereby the accuracy of pose estimation can be improved continuously. Simulation results verify the effectiveness of the proposed methods.
出处
《信号处理》
CSCD
北大核心
2017年第10期1377-1384,共8页
Journal of Signal Processing
关键词
ISAR图像
姿态估计
DP算法
线特征
差分投影
ISAR image
pose estimation
DP method
linear features
differencing projection
