针对单站光测图像中飞行目标轴线的精确测量问题提出一种新方法,即通过对单站图像中分割出来的目标图像进行Hough变换,在Hough参数空间(HPCS)中对结果进行灰度质心计算,从而得到目标中轴线的位置及方向。该法充分利用了单站目标图像的全部灰度信息,对图像质量要求不高,容噪性好,适用于各种轴对称目标。旋转和平移实验表明:判读结果稳定,准确度高,判读标准差均达到亚像素精度。该法用于测量飞行目标的轴线是精确有效的。

For measuring axis parameters of a flying object from mono view precisely, a new method was put forward. First, process object image obtained by segmenting from original image with Hough transform. Then calculate grayscale centroid of the result in Hough parameter compute space (HPCS). Finally, obtain axis parameters to denote location and orientation of the flying object. For the reason that the method exploits all grayscale information of the flying object in the original image, and it did not require high quality of image details, hence the proposed method can be applied in various objects with axial symmetry. The rotation and translation experiments illustrate that interpretation results are stable and precise, and the error can go to sub-pixel level. Consequently, the proposed method is accurate and effective on measuring axis of a flying object.