在实时同步卫星定轨系统中，为了提高漂移扫描 CCD星图目标提取的实时性，提出最简特征融合算法。通过星图背景分割减少噪声影响，提取局部灰度最大值与局部区域对比度作为星点目标特征，通过选取最佳权值融合上述两种特征，突显星点目标。与传统的星点提取算法相比，所选取的两种特征容易提取，运算量小，节省星点目标提取时间，提高了星点提取精度。通过对分辨力为 1 528×1 528的漂移扫描 CCD星图进行处理，实验结果证明了该算法的有效性。

In the system of real-time orbit determination of synchronous satellite, an algorithm based on simple features fusion is proposed to reduce the consuming time on star extraction from star image of CCD drift-scan. Firstly, segment star targets and background to decrease the influence of noise and improve the contrast of star image. Then, compute part maximum pixel gray value and mean contrast of partial region as star target feature and fuse the features, by counting optimum weights, to make the star target be sharper. The precision of star extraction is higher than traditional star extraction method. The amount of calculation of the algorithm which can be easily fulfilled is small, star extraction time is saved and the accuracy of star extraction is improved. The experiment results of processing the star image whose resolution is 1 528×1 528 taken by drift-scan CCD proves the validity of the algorithm.