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Astronomical extended object image reconstruction after primarycorrection with Yunnan Observatory 1.2m adaptive optics system

机译:云南观测台1.2M自适应光学系统校正后的天文扩展对象图像重建

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As an astronomical image post-processing technique, deconvolution from wavefront sensing (DWFS) is a powerful andlow cost method for adaptive optics (AO) images reduction. It is based on deconvolution of short exposure images andsimultaneous measuring wavefront sensor data, both are provided by adaptive optics system to improve the quality ofimages. However, for extended or dim sources observing, limited precision of the Wave Front Sensor (WFS) will lead toinferior correction quality of AO images, also these can hardly enhanced by DWFS method. We show here a simple andefficient solution, which combines the DWFS method with a shift-and-add (SAA) image reconstruction technique,designed for reduction of astronomical data obtained with AO system, especially extended objects. This scheme has beenapplied to the upgraded 61-actuator Shack-Hartmann based adaptive optics system, partially primary corrected extendedobject images at Yunnan observatory 1.2m telescope for astronomical high resolution imaging. Experimental result ofMars was presented.
机译:作为天文形象后处理技术,来自波前感测的去卷积(DWFS)是用于自适应光学(AO)图像的强大的钻头成本方法。它基于短曝光图像的去卷积和满足测量波前传感器数据,两者都是由自适应光学系统提供的,以提高倍数的质量。然而,对于延长或暗淡的来源观察,波前传感器(WFS)的有限精度将导致AO图像的有限校正质量,因此DWFS方法也很难增强。我们在这里展示了一个简单的弱效解决方案,它将DWFS方法与Shift-and-Add(SAA)图像重建技术相结合,设计用于减少使用AO系统获得的天文数据,尤其是扩展对象。该方案已偏离升级的61执行器Shack-Hartmann的自适应光学系统,部分主要校正的Expertobject图像,用于天文高分辨率成像的云南观测台1.2m望远镜。提出了现实的实验结果。

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