Abstract

The influence of spatial inhomogeneity of the photoelectric characteristics of a matrix photodetector (PDD) on the quality of detection of small-sized objects in the image formed by it is considered. It is shown that in the conditions of spatially inhomogeneous natural noise of the PDD, the traditionally applied two-point correction is not optimal for subsequent matched image filtering performed in order to increase the reliability of object detection. A two-stage algorithm for constructing a linear spatially invariant matched filter is proposed, which provides a significant increase in the reliability of detecting weak small-sized objects against the background of uncorrelated noise in images containing interference due to the spatial heterogeneity of the PDD characteristics.

中文翻译：

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包含恒定空间干扰的图像中的小型对象的匹配过滤

摘要

考虑了矩阵光电检测器（PDD）的光电特性在空间上的不均匀性对由此形成的图像中小尺寸物体的检测质量的影响。结果表明，在PDD的空间不均匀自然噪声条件下，传统上应用的两点校正对于随后进行的匹配图像滤波以提高对象检测的可靠性并不是最佳的。提出了一种构造线性空间不变匹配滤波器的两阶段算法，该算法大大提高了在检测由于PDD特性的空间异质性而产生的包含干扰的图像中不相关噪声的背景下检测弱小物体的可靠性。