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Noise estimation and probability of detection in non-resolved images: Application to space object observation

机译:非分辨图像中的噪声估计和检测概率:在空间物体观测中的应用

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摘要

Charged Couple Device (CCD) technology is widely used in various scientific measurement contexts. CCD equipped cameras have revolutionized astronomy and space-related optical telescope measurements in recent years. They are also used in electroscopic measurements, e.g., in fields such as geology, biology, and medicine. The signal-to-noise ratio and the probability of detection are crucial to design experiments observation setups properly and to employ further mathematical methods for data exploitation such as, e.g. multi-target tracking methods. Previous attempts to correctly characterize the signal-to-noise ratio for star observations are revisited in this work and adapted for the application of near-Earth object observations and high precision measurements, leading to a modified CCD equation. Our formulation proposes a novel distribution of the signal noise that accurately accounts for the truncation noise and the presence of ambiguous pixels. These improvements are employed to derive the probability of detection and the SNR with significant improvements compared to existing formulations when ambiguous pixels are present. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
机译:电荷耦合器件(CCD)技术广泛用于各种科学测量环境。近年来,配备CCD的摄像机彻底改变了天文学和与空间有关的光学望远镜的测量。它们还用于电镜测量,例如,在诸如地质,生物学和医学领域。信噪比和检测概率对于正确设计实验观察设置以及采用进一步的数学方法进行数据开发至关重要,例如多目标跟踪方法。在这项工作中,重新尝试了先前正确表征恒星观测信噪比的尝试,并将其应用于近地物体观测和高精度测量的应用,从而得出了改进的CCD方程。我们的公式提出了一种新的信号噪声分布,该分布可以准确地说明截断噪声和模棱两可像素的存在。当存在模棱两可的像素时,与现有公式相比,采用这些改进来获得检测概率和SNR,并且具有显着改进。 (C)2019 COSPAR。由Elsevier Ltd.出版。保留所有权利。

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