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Multicolor photometry of geosynchronous satellites and application on feature recognition

机译:地球同步卫星的多色光度法及其在特征识别中的应用

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Multicolor photometric observations of Geosynchronous Earth Orbit (GEO) satellites in the CCD image have been performed experimentally using the Schmidt telescope at Xing-long Observatory of National Astronomical Observatories, Chinese Academy of Sciences. The data have been reduced and the results have been analyzed. Compared the results of 4 satellites observed, it can be concluded that there are significant differences between the intensity curves and color indices of objects with different bus types. And the curves of single object observed during 2 nights have relatively strong similarity. The correlation coefficients are also evaluated, which quantify and verify the conclusion above. The results indicate that multicolor photometric characteristic of GEO satellites may be used as a method of object feature recognition. Further analysis by reducing the filters from 10 to 5 has been conducted to investigate whether a smaller number of these filters can produce the same result. The results show 5 filters also can partly distinguish satellites, but with less discrimination. More observations will be performed in order to further study and improve the method of space object identification in the future.
机译:在中国科学院国家天文台兴隆天文台的施密特望远镜已通过实验对CCD图像中的地球同步轨道(GEO)卫星进行了多色光度观测。减少了数据并分析了结果。比较观察到的4颗卫星的结果,可以得出结论,不同总线类型的物体的强度曲线和颜色指数之间存在显着差异。并且在两个晚上观察到的单个对象的曲线具有相对强的相似性。还评估了相关系数,从而量化和验证了以上结论。结果表明,GEO卫星的多色光度特性可以用作目标特征识别的一种方法。通过将过滤器从10减少到5进行了进一步的分析,以研究这些过滤器的数量是否较少可以产生相同的结果。结果表明,5个滤波器也可以部分区分卫星,但辨别力较小。为了将来进一步研究和改进空间物体识别方法,将进行更多的观察。

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