Improvement of measurement precision of plane attitude by constructing optimization functions

A method based on optimization functions was proposed to improve the attitude measurement precision of a plane. First, the same feature that the plane was projected at two measuring stations was acquired by the template matching method. The coordinate value of the same feature for the plane was obtained by intersecting at a launching coordinate, and the initial value of the plane attitude was estimated in term of the characteristic triangle of the plane in space. Then, the object coordinate of the plane was established, the image coordinate according to the feature of plane was calculated by using a colinear equation and the least difference between the re-project result and an actual image was regarded as the optimizing goal function. Finally, the iterative method was used to improve the precision of the attitude parameter of a target. Experimental results show that the measuring error of the attitude angle is less than 0.1 ° when the axis of the plane imaging is more than 500 pixels. As compared with the middle axis method and the direction vector method of angle bisector lines, proposed method has a correct mathematical model, reasonable algorithm and can improve effectively the measurement precision of the plane.