基于线特征差分投影的空间目标姿态估计方法

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。本文针对利用线特征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。 

Pose Estimation Algorithm for Space Target Based on Linear Features Differential Projection

The pose estimation of space target is an important promise for space target recognition based on ISAR image. This paper proposes a pose estimation algorithm based on linear features differential projection for the problem that the detecting errors of linear features affect the estimation greatly when using their projection to estimate pose directly. First DP method is used to detect the linear features’ projections from the ISAR image. Then the differential projections of linear features are set up between the ISAR images that one is imaged by the measured data in the real pose and the other one is imaged by the emulated data in the estimated pose, which transforms the absolute errors to relative errors, and thus decreases the detecting errors’ effects on pose estimation effectively; meanwhile, we use the differential projection to get a pose correction and optimize the current pose estimation iteratively, and thereby continuously improves the accuracy of pose estimation. Some simulation experiments are made to verify the valid of our methods.