光学图像中微弱轨道碎片轨迹检测的快速算法
A fast algorithm for the detection of faint orbital debris tracks in optical images
摘要：
移动的物体在跟踪恒星或其他目标的望远镜获得的光学图像中留下了延伸的轨道。通过搜索这些轨迹的图像，人们可以获得关于地球轨道上空间碎片数量的统计数据。这里描述的算法结合了匹配滤波与离散Radon变换的傅立叶实现，并且可以以高灵敏度和速度检测长线性轨道。蒙特卡罗模拟表明，这样的轨道，在泊松随机噪声的背景下，可以可靠地检测，即使他们是不可见的眼睛。在2.2 GHz的计算机上，该算法可以在不到一分钟的时间内处理4096 x 4096像素的图像。
英文摘要：
Moving objects leave extended tracks in optical images acquired with a telescope that is tracking stars or other targets. By searching images for these tracks, one can obtain statistics on populations of space debris in Earth orbit. The algorithm described here combines matched filtering with a Fourier implementation of the discrete Radon transform and can detect long linear tracks with high sensitivity and speed. Monte-Carlo simulations show that such tracks, in a background of Poisson random noise, can be reliably detected even if they are invisible to the eye. On a 2.2 GHz computer the algorithm can process a 4096 x 4096-pixel image in less than a minute.
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