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Analytical comparison of predetection postdetection and hybrid image compensation techniques in the presence of atmospheric turbulence

机译:在存在大气湍流的情况下,检测前检测后检测和混合图像补偿技术的分析比较

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Abstract: Images obtained from ground-based telescopes are distorted due to the effects of atmospheric turbulence. This disturbance can be compensated for by employing adaptive optics (predetection compensation), image reconstruction techniques (postdetection compensation), or a combination of both (hybrid compensation). This study derives analytic expressions for the residual mean squared error of each technique. These mean squared error expressions are then used to parametrically evaluate the performance of the compensated imaging techniques under varying conditions. Parameters of interest include actuator spacing, coherence length, and wavefront sensor noise variance. It is shown that hybrid imaging allows for the design of lower cost systems (fewer actuators) that still provide good correction. The adaptive optics system modeled includes a continuous faceplate deformable mirror and a Hartmann Shack wavefront sensor. The linear image reconstruction technique modeled is deconvolution via inverse filtering. The hybrid system employs the adaptive optics for first order correction and the image reconstruction for higher order correction. This approach is not limited to correction of atmospheric turbulence degraded images. It can be applied to other disturbances, such as space platform jitter, as long as the corresponding structure function can be estimated. !6
机译:摘要:由于大气湍流的影响,从地面望远镜获得的图像会失真。可以通过采用自适应光学器件(检测前补偿),图像重建技术(检测后补偿)或两者的组合(混合补偿)来补偿这种干扰。这项研究得出了每种技术的剩余均方误差的解析表达式。然后,将这些均方误差表达式用于参数评估在不同条件下补偿成像技术的性能。感兴趣的参数包括执行器间距,相干长度和波前传感器噪声方差。结果表明,混合成像可以设计出成本较低的系统(执行器较少),但仍可提供良好的校正效果。建模的自适应光学系统包括一个连续的面板可变形镜和一个Hartmann Shack波前传感器。建模的线性图像重建技术是通过逆滤波进行反卷积。混合系统采用自适应光学器件进行一阶校正,并使用图像重建进行高阶校正。该方法不限于校正大气湍流退化的图像。只要可以估计相应的结构函数,它就可以应用于其他干扰,例如空间平台抖动。 !6

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