According to the image blurs caused by platform vibration in a staring imaging system in the geostationary orbit, a vibration suppression method based on multiple integration was proposed to eliminate the motion blur degradation .A 1D vibration platform with a high-speed CMOS image capturing system was built to collect image sequences with different vibration frequencies under different exposure conditions. Next a phase correlation method based on the energy area center was proposed to calculate the relative drift of each image in sub-pixels. Then, The sub-pixel displacements between the different frames estimated by image registration algorithm were compared with the motion data measured by the displacement sensor ,which proved that the algorithm precision was better than 0.1 pixels. Furthermore, several sharpest short-exposure frames were chosen for sub-pixel image fusion. Compared with long-exposure images, the motion blur in the fusion image has been weakened. It has proved that the method of multiple integration and sub-pixel image fusion is suitable for the vibration suppression of staring imaging systems in the geostationary orbit.
引用该论文:TAO Xiao-ping,LUO Xiao,XUE Dong-lin. Vibration suppression based on multiple integration for staring imaging system in geostationary orbit[J]. Optics and Precision Engineering, 2013, 21(8): 2169～2179 陶小平,罗霄,薛栋林. 地球静止轨道面阵凝视成像系统分时积分抑振技术[J]. 光学 精密工程, 2013, 21(8): 2169～2179
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