背景和噪声波动下的多帧亚像素目标检测

V. Golikov, O. Lebedeva, M. MayAlarcon, J. Padilla Suarez
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引用次数: 0

摘要

本文介绍了基于视频的检测系统中已知匹配子空间检测器(MSD)的性能。众所周知,亚像素目标只占像素区域的一部分。然后,在两个统计假设H0和H1下,方差之间存在差异。这是探测器性能下降的一个原因。我们分析了两种与目标尺寸增大有关的相反现象。首先增加目标能量,其次减小像素背景方差。对实际参数与设计参数不匹配时的性能退化进行了评估。研究表明,该算法的性能很大程度上取决于亚像素背景填充系数。这些结果已通过分析得到,并通过蒙特卡罗模拟得到了一个示例场景。
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Multiframe subpixel target detection in the presence of fluctuating background and noise
This paper presents a performance of the known matched subspace detector (MSD) for video-based detection systems. It is well known that a subpixel target occupies only a part of the pixel area. Then there is a difference between the variances under two statistical hypotheses H0 and H1. This fact is a cause of the detector performance degradation. We analyze two opposite phenomena related with an increasing size of the target. First, the target's energy is increased, and, second, the pixel background variance is decreased. The performance degradation has been evaluated when there are the mismatches between the actual and designed parameters. It has been shown that the performance depends strongly on the subpixel background fill factor. These results have been obtained analytically and have been also justified via Monte Carlo simulations for an example scenario.
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