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Geocentric position preliminary detection from the extreme ultraviolet images of Chang'E-3

机译:从Chang娥三号的极紫外图像中进行地心位置初步检测

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An Extreme ultraviolet (EUV) Camera was installed onboard the Chinese lunar surface landing mission, the Chang'E-3 lander, as a useful method to observe the Earth plasmasphere. This EUV optical payload obtained more than 600 moon-based Earth plasmasphere images since December 14, 2013. However, due to errors of unknown size and origin in the platform attitude control of the lander and in the EUV telescope pointing control during the mission operating periods, the geocentric coordinates in these EUV images are not fixed in the same position of CCD pixel. Before adequately calibrating, these positioning offsets will introduce extra errors into the analysis of the plasmaspheric structure. With only a little insufficient telemetry information, an effective calibrating method of circle-based differential algorithm is suggested and demonstrated, for automatically and precisely detecting the geocentric position in each EUV image of Chang'E-3 mission. In each EUV image, the tested method uses the outline of a circle as the basic unit to capture the contour for the bright region based on the spectral characteristic. Then, the center of the extracted circle is adopted as the geocentric position for the image. The preliminary analysis shows that this method can effectively detect the geocentric position being always consistent with the recognition result by the basic hand labor method. It is found that the radius of the circles varies from month to month from December, 2013 to May, 2014. The monthly averages of radius show relative notable positive correlation and negative correlation with the changes of both Zenith angle of the Earth at the landing area of Chang'E-3 lander, and the Earth-moon distance, respectively. This method and results here will benefit the Chang'E-3 EUV study.
机译:在中国登月任务的'娥三号着陆器上安装了一个极紫外(EUV)相机,作为观察地球等离子层的有用方法。自2013年12月14日以来,该EUV光学有效载荷获得了600多个基于月球的地球等离子层图像。但是,由于在着陆任务期间,着陆器的平台姿态控制和EUV望远镜指向控制中的大小和原点不明, ,这些EUV图像中的地心坐标未固定在CCD像素的相同位置。在进行充分校准之前,这些定位偏移将在等离子体层结构的分析中引入额外的误差。在仅少量的遥测信息不足的情况下,提出并演示了一种有效的基于圆环的微分算法校准方法,该方法可以自动,精确地检测'娥三号每次EUV图像中的地心位置。在每个EUV图像中,经过测试的方法均使用圆的轮廓作为基本单位,以基于光谱特征捕获亮区域的轮廓。然后,将提取的圆的中心用作图像的地心位置。初步分析表明,该方法可以有效地检测出地心位置,该位置始终与基本人工方法的识别结果一致。结果表明,从2013年12月到2014年5月,圆的半径随月份的变化而变化。半径的月平均值与着陆区两个天顶角的变化呈相对显着的正相关和负相关。 Chang娥三号着陆器的距离和地月距离。此方法和结果将有益于Chang'E-3 EUV研究。

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