论文部分内容阅读
提出了基于构建最优函数来提高飞机姿态测量精度的方法。首先,利用模板匹配法获得飞机在两个测站投影的同名特征点,在发射坐标系下采用交会获得飞机同名特征点的坐标值,根据飞机在空间的特征三角形解算飞机姿态的初值。然后,建立飞机体坐标系;利用成像的共线方程,重新计算空间特征点对应的像点坐标;以重投影结果与实际像点之间的偏差最小作为优化目标函数。最后,通过迭代提高目标姿态解的精度。实验结果表明,飞机轴向成像在大于500pixel时,姿态角测量误差小于0.1°。与中轴线法及飞机角平分线方向向量法测量精度比对,本文提出的方法采用的数学模型正确、算法合理,有效地提高了飞机姿态的测量精度。
A method based on constructing the optimal function to improve the accuracy of aircraft attitude measurement is proposed. First of all, using the template matching method to obtain the same name feature points projected by the aircraft at two stations, the coordinates of the same name feature points are obtained by rendezvous in the launch coordinate system, and the initial value of the aircraft attitude is calculated according to the feature triangles of the aircraft in space. Then, the aircraft body coordinate system is established; the coordinates of the image points corresponding to the spatial feature points are recalculated using the imaging colinear equation; and the minimum deviation between the re-projection result and the actual image point is taken as the optimization objective function. Finally, the accuracy of the target attitude solution is improved by iteration. The experimental results show that the error of attitude measurement is less than 0.1 ° when the axial imaging is more than 500pixel. Compared with the measurement accuracy of the mid-axis method and the bisector of the plane angle vector method, the mathematical model proposed in this paper is correct and the algorithm is reasonable and effectively improves the measurement accuracy of the aircraft attitude.