YNAO OpenIR  > 应用天文研究组
Alternative TitleReconstruction of Astronomical Adaptive Optics Images employing Space-Field Statistical Characteristics
Thesis Advisor熊耀恒
Degree Grantor中国科学院研究生院(云南天文台)
Place of Conferral北京
Degree Discipline天体测量与天体力学
Keyword自适应光学 点扩展函数重建 图像重建 光传播数值仿真
Abstract本文从克服大气湍流对天文成像的严重影响为出发点,以实现地基光学天文观测的高分辨成像为目的,对天文图像重建方法与自适应光学补偿结合的混合方法进行研究。在弱湍流统计理论的基础上,通过对天文图像降质的过程以及自适应光学部分补偿特性的分析和探讨,针对自适应光学补偿残差和系统限制对观测图像进行重建以进一步提高成像质量是论文研究的思路。 为从更全面和更接近本质的眼光来看待天文成像问题,避免研究拘泥于传统天文图像重建某一种特定的方法和处理技术上,论文首先从梳理天文成像的大气湍流光传播和自适应光学补偿成像系统的数理模型入手,根据湍流统计理论,在已有数值仿真方法的基础上对算法进行优化和调整,建立了一套针对自适应光学天文成像的数值模型和仿真程序。通过数值模拟的实验手段,对经过湍流大气和自适应光学补偿的光波场空域统计特性进行分析。同时在已有的点扩展函数重建分析方法基础上,针对特定自适应光学系统,实现了系统点扩展函数的重建。 以上述研究工作为基础,针对自适应光学成像系统的部分补偿,本文首次尝试将空域特性统计结果与成像系统点扩展函数相结合。最终发展并建立起一个针对天文自适应光学成像系统的空变点扩展函数参数化模型,并对该模型的可靠性进行了验证。利用得到的点扩展函数模型对图像反卷积重建,可针对天文自适应光学成像系统的补偿残差和非等晕效应对图像造成的影响明显改善,提高图像质量。最后,在对重建方法可用性和有效性验证的基础上,成功实现了对真实天文目标的图像重建。 尽管本文的研究是针对天文自适应光学成像及数据处理,但取得的结果对自适应光学技术和天文高分辨成像技术领域的研究工作都具有重要参考价值。此外,所建立的光传播数值仿真模型可应用于激光测距、激光通讯等涉及激光大气传播的研究领域。
Other AbstractIn this article a study of the reconstruction of astronomical images with adaptive optical (AO) partial compensation in order to effectively reduce the distortion of atmospheric turbulence therefore to obtain high resolution ground-based observations is presented. The strategy of this paper is to reconstruct observational images from residual wave-front distortion and anisoplanatism of AO imaging system’s partial compensation based on the characteristics analysis of the degraded imaging processes and the AO compensation, making use of the statistical theory of optical turbulence. To obtain an overall understanding of the astronomical imaging, we do not limit our scope to just one of the traditional approaches. First, we build up programs for AO astronomical imaging based on optimization to the current numerical simulation algorithm according to statistical theory of atmospheric turbulence. Then we analyze the space-field statistical characteristics of images of atmospheric turbulence and AO compensation and reconstruct the point spread function (PSF) for AO imaging systems. Then by combining the space-field statistical characteristics and the reconstructed AO-PSF we develop a predicted space-varying parameter PSF model for AO systems and the effectiveness of the model is also tested. The results show that reconstruction of AO astronomical images by using the predicted space-varying PSF model with deconvolution method can reduce effects of residual wave-front distortion and anisoplanatism on AO system’s partial compensated astronomical images. Therefore this method can significantly improve the image quality. The possible applications of our results are not only limited to astronomy related fields but also all the AO imaging and data processing linked fields. Furthermore, the model in this article could be used in laser ranging, laser communications, and other related research areas of laser atmospheric propagation.
Subject Area天文学
Document Type学位论文
Recommended Citation
GB/T 7714
常翔. 基于空域统计性质的自适应光学天文图像重建研究[D]. 北京. 中国科学院研究生院(云南天文台),2011.
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