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Satellite and debris characterisation with Adaptive Optics Imaging

机译:自适应光学成像卫星和碎屑表征

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The Research School of Astronomy and Astrophysics (RSAA) at the Australian National University (ANU) has developed the Adaptive Optics Imaging (AOI) system for satellite and debris characterisation in low Earth orbit (LEO) and satellite tracking in geostationary orbit (GEO). We have demonstrated the capability of the system on-sky by performing an AO correction on a star. With AO correction and using lucky imaging to select only the best frames we achieve a strehl ratio of 27%. The effectiveness of the AO correction is evident when comparing open and closed loop images of Cosmos 1656 in LEO. Features such as panels, satellite body and the antenna can be distinguished in the closed loop image that are not visible when using no AO correction. The angular size of features were measured which allowed for physical dimensions of the satellite to be calculated.
机译:澳大利亚国立大学(ANU)的天文学和天体物理学(RSAA)研究学院开发了用于在地球静止轨道(GEO)的低地球轨道(LEO)和卫星跟踪中的卫星和碎片表征的自适应光学成像(AOI)系统。 我们通过在星空上执行AO校正来证明了系统在天空中的能力。 随着AO校正和使用幸运成像,仅选择最好的框架,我们达到了27%的斯特勒比比率。 当比较Leo中的Cosmos 1656的开放和闭环图像时,AO校正的有效性是显而易见的。 在使用NO AO校正时,可以在闭环图像中区分面板,卫星主体和天线等特征。 测量特征的角度尺寸,其允许计算卫星的物理尺寸。

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