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Small-target judging method based on the effective image pixels for measuring infrared radiation characteristics

机译:基于测量红外辐射特性的有效图像像素的小目标判断方法

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摘要

When measuring infrared radiation characteristics, it is necessary to judge whether the target is a small target or a surface target. This paper proposes a judging method based on the effective imaging pixels of the target that takes into account the influence of the diffusing effect of the imaging system as well as that of the signal-to-noise ratio on the imaging process. The method employs a discrete imaging process model to simulate images of small targets and implements an algorithm for estimating the effective imaging pixels. Characteristic curves for judgment are obtained, and judgment criteria are, in turn, established based on the definition of a threshold number of effective imaging pixels. Targets with a number of effective imaging pixels less than this threshold are defined as small targets. Experimental results validate the feasibility and effectiveness of the proposed method. (C) 2020 Optical Society of America
机译:在测量红外辐射特性时,有必要判断目标是小目标还是表面目标。 本文提出了一种基于目标的有效成像像素的判断方法,其考虑了成像系统的漫射效果的影响以及对成像过程的信噪比的影响。 该方法采用离散的成像过程模型来模拟小目标的图像并实现用于估计有效成像像素的算法。 获得判断的特征曲线,并且依次基于阈值数量的有效成像像素的定义建立判断标准。 具有小于该阈值的多个有效成像像素的目标被定义为小目标。 实验结果验证了所提出的方法的可行性和有效性。 (c)2020美国光学学会

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    《Applied optics》 |2020年第10期|共8页
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