Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA.
Opt Lett. 2010 Mar 15;35(6):838-40. doi: 10.1364/OL.35.000838.
Previous studies have shown that the isoplanatic distortion due to turbulence and the image of a remote object may be jointly estimated from the 4D mutual intensity across an aperture. This Letter shows that decompressive inference on a 2D slice of the 4D mutual intensity, as measured by a rotational shear interferometer, is sufficient for estimation of sparse objects imaged through turbulence. The 2D slice is processed using an iterative algorithm that alternates between estimating the sparse objects and estimating the turbulence-induced phase screen. This approach may enable new systems that infer object properties through turbulence without exhaustive sampling of coherence functions.
先前的研究表明，通过孔径的 4D 互强度，可以共同估计由湍流引起的等晕变形和远程物体的像。本信表明，通过旋转剪切干涉仪测量的 4D 互强度的二维切片上的解压推断足以用于估计通过湍流成像的稀疏物体。二维切片使用迭代算法进行处理，该算法在稀疏物体的估计和湍流引起的相位屏的估计之间交替。这种方法可能会实现新的系统，这些系统无需对相干函数进行详尽采样即可通过湍流推断物体属性。
