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首页> 外文会议>Conference on ground-based and airborne instrumentation for astronomy IV >Analysis of stellar radiance contamination in observed satellite spectra
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Analysis of stellar radiance contamination in observed satellite spectra

机译：卫星光谱中恒星辐射污染的分析

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Reflectance spectra of Earth orbiting satellites can be readily observed with small diameter telescopes (D & 1 m)by utilizing a method known as slitless spectroscopy. Satellite spectra can be observed by simply placing atransmission grating within the collimated optical path of the telescope without the need to image through aslit. The simplicity of the slitless spectroscopy design makes it a promising alternative to spatially resolvingsatellites with larger and more expensive diameter telescopes for applications of space situational awareness.However, accurately observing satellite reectance spectra without imaging through a slit requires a dark andhomogeneous background. This requirement is frequently violated as background stars streak across the imagedue to the slewing motion of the telescope during satellite tracking. Rather than throwing out all images withnoticeable stellar contamination, a principle component analysis of contaminated images from three geostationarysatellite observations showed that it may still be possible to assess and identify satellite characteristics dependingupon the amount of stellar contamination in the spectral region of interest. Additionally, a simple technique forautomatic removal of contaminated frames is proposed based on an outlier analysis using Gaussian statistics andwas found to successfully remove all signicantly contaminated frames.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译：利用小直径望远镜（D ＜1m），通过利用称为无缝光谱的方法，可以容易地观察地球轨道卫星的反射光谱。只需将透射光栅放置在望远镜的准直光路内即可观察到卫星光谱，而无需通过近射成像。无缝隙光谱学设计的简单性使其成为具有空间状况感知应用的，具有更大，更昂贵的直径望远镜的空间分辨卫星的有前途的替代品，但是，要准确地观测卫星反射光谱而无需通过缝隙成像，则需要黑暗且均匀的背景。由于在卫星跟踪过程中望远镜的旋转运动，背景恒星在图像上出现条纹，因此经常违反此要求。对三个对地静止卫星观测的受污染图像进行主成分分析后，与其扔掉所有具有明显恒星污染的图像，不但没有发现可能，还可以根据感兴趣的光谱区域中恒星污染的数量来评估和识别卫星特征。此外，基于使用高斯统计量的异常值分析，提出了一种自动去除污染框架的简单技术，并发现该技术可以成功去除所有严重污染的框架。©（2012）COPYRIGHT光电仪器工程师协会（SPIE）。摘要的下载仅允许个人使用。

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