针对地球静止轨道卫星平台面阵凝视成像系统由于平台振动引起的图像模糊问题，提出了基于分时积分亚像元融合的方法来削弱平台颤振引起的图像模糊，提高景物辨识度；设计并搭建了二维振动平台；利用高速图像采集系统采集不同曝光时间条件下、不同振幅、不同频率振动的序列图像；使用基于能量区域质心法的相位相关法进行亚像元图像配准，计算每帧图像相对偏移量，与二维振动平台中的光栅尺位移传感器数据进行对比，验证了配准算法精度优于0.1 pixel；选择清晰度满足要求的多帧短曝光时间图像进行亚像元融合。与长曝光时间图像对比，融合图像清晰度更高，而信噪比与长曝光图像相当，验证了分时积分亚像元融合法对颤振模糊的抑制作用，具备卫星平台应用的基础。

Images captured by the staring imaging system in geostationary orbit usually emerge blur because of the satellite vibration in the exposure time. To eliminate the motion blur degradation, the paper proposes to capture multiple short-exposure images and fuse them on sub-pixel scale instead. Image sequences with different conditions are captured by a high-speed camera, cooperated with a vibration simulation system. The sub-pixel displacements between the different frames estimated by image registration algorithm are compared with the motion data measured by the linear encoder. Experimental results indicate that the algorithm precision is better than 0.1 pixel. Several sharpest short-exposure frames are chose for sub-pixel image fusion. Compared with the long-exposure image, the motion blur in the fusion image is weakened. It proves that the method of multiple integration and sub-pixel image fusion is powerful of vibration suppression for staring imaging system in geostationary orbit.