利用图像反褶积提高CCD成像中对恒星和微弱轨道物体的探测能力

J. Núñez, O. Fors, A. Prades
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引用次数: 4

摘要

在本文中,我们展示了图像反褶积技术如何提高在CCD图像中检测微弱恒星或微弱轨道物体(小卫星和空间碎片)的能力。在暗星的情况下,我们表明这种好处相当于将CCD探测器的量子效率提高一倍,或者在不降低天体测量精度或引入人为偏差的情况下将有效望远镜孔径增加40%。在轨道物体的情况下,反卷积技术可以将信噪比提高一倍,有助于发现和控制空间碎片或丢失的卫星等危险物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Image Deconvolution to Increase the Ability to Detect Stars and Faint Orbital Objects in CCD Imaging
In this paper we show how the techniques of image deconvolution can increase the ability to detect faint stars or faint orbital objects (small satellite and space debris) in CCD images. In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the CCD detector or to increase the effective telescope aperture by up to 40% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal to noise ratio helping to discover and control dangerous objects as space debris or lost satellites.
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