Multi-frame satellite image reconstruction using adaptive-optics compensation

J. H. Seldin, R. Paxman, B. Ellerbroek, J. Riker
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Abstract

The resolution achieved in space-object imaging is usually limited by turbulence-induced aberrations, which can severely limit the resolution in the images by an order of magnitude or more. The 1.5-meter telescope at the Air Force Research Laboratory Starfire Optical Range (SOR) relies upon an adaptive-optics system to eliminate in real time much of the phase aberration introduced by atmospheric turbulence. Despite the exceptional performance of this system, the correction is never perfect. There are several sources of residual aberrations that degrade the imagery: imperfect wavefront sensing (particularly in low light-level situations), the time lag between sensing and correction (which allows for evolution of the atmosphere and is a particular problem when slewing to track an earth-orbiting space object), and deformable-mirror fitting errors. A post-detection image-reconstruction capability also insures the continuing availability of fine-resolution images, even during adaptive-optics down time owing to routine maintenance or temporary system failure. Therefore, post-detection reconstruction methods provide an important complement to and backup for pre-detection correction.
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基于自适应光学补偿的多帧卫星图像重建
空间目标成像的分辨率通常受到湍流引起的像差的限制,这可能严重地限制了图像的分辨率,达到一个数量级或更多。美国空军研究实验室星火光学靶场(SOR)的1.5米望远镜依靠自适应光学系统来实时消除大气湍流带来的相位像差。尽管这一系统表现出色,但修正从来都不是完美的。有几个来源的残余像差降低图像:不完美的波前传感(特别是在低光水平的情况下),传感和校正之间的时间滞后(这允许大气的演变,是一个特殊的问题,当回转跟踪地球轨道空间物体),和变形镜安装误差。检测后图像重建功能还确保了高分辨率图像的持续可用性,即使在自适应光学系统因日常维护或临时系统故障而停机期间也是如此。因此,检测后重建方法是对检测前校正的重要补充和备份。
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