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Quantifying uncertainties in signal position in non-resolved object images: Application to space object observation

机译:量化未分辨物体图像中信号位置的不确定性:在空间物体观测中的应用

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摘要

Charged Coupled Devices (CCDs) and subsequently Complementary metal-oxide-semiconductor (CMOS) detectors revolutionized scientific imaging. On both the CCD and CMOS detector, the generated images are degraded by inevitable noise. In many applications, such as in astronomy or for satellite tracking, only unresolved object images are available. Strategies to estimate the center of the nonresolved image their results are affected by the detector noise. The uncertainty in the center is classically estimated by running prohibitively costly Monte Carlo simulations, but in this paper, we propose analytic uncertainty estimates of the center position. The expressions that depend on the pixel size, the signal to noise ratio and the extension of the object signal relative to the pixel size are validated against rigorous Monte Carlo simulations with very satisfying results. Numerical tests show that our analytic expression is an efficient substitute to the Monte Carlo simulation thereby reducing computational cost. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:电荷耦合器件(CCD)和随后的互补金属氧化物半导体(CMOS)检测器彻底改变了科学成像技术。在CCD和CMOS检测器上,不可避免的噪声会降低生成的图像。在许多应用中,例如在天文学中或用于卫星跟踪时,只有未解析的物体图像可用。估计未分辨图像中心的策略其结果会受到检测器噪声的影响。中心的不确定性是通过运行成本高昂的蒙特卡洛模拟进行经典估计的,但是在本文中,我们提出了中心位置的解析性不确定性估计。相对于严格的蒙特卡洛模拟,验证了取决于像素大小,信噪比和目标信号相对于像素大小的扩展的表达式,结果非常令人满意。数值测试表明,我们的解析表达式可以有效替代Monte Carlo仿真,从而降低了计算成本。 (C)2019 COSPAR。由Elsevier Ltd.出版。保留所有权利。

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