惯性约束核聚变 (ICF)实验中，靶定位精度直接影响打靶的成功率。本文利用三个 CCD从不同的视角得到靶的图像，综合三个 CCD的特征值计算靶的空间坐标和方位旋转矩阵，从而确定其在空间的六维位姿。对于特征值的提取，本文采用 “模板匹配 ”和“椭圆轮廓拟合 ”相结合的数据融合图像处理技术，并利用双立方插值法实现了亚像素的测量精度，从而使微型靶的定位精度达到了微米级。实验结果表明，该检测方法稳定性好，定位的重复性误差小于 1 μm且获得了优于 2 μm的测量精度。

In Inertia Confinement Fusion (ICF) physical experiments, target-positioning accuracy directly affects the success rate of target hitting. Three CCDs are used to acquire images of target from different viewing angles, and then the spatial coordinate values and the rotation matrix of target are calculated by integrating the characteristic values of the three CCDs. To obtain the characteristic values, an image processing method of data fusion is presented, which combines template matching with ellipse contour fitting technology. Sub-pixel accuracy of location is obtained by adopting bicubic interpolation. It is proved by experiments that this method has the advantages of high stability, small repeatability error of less than 1 μm and high accuracy over 2 μm.