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Identification of military targets and simple laboratory test patterns in band-limited noise

机译:在带限量噪声中识别军事目标和简单的实验室测试模式

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We investigate the effect of band-limited masking noise and blur on the minimum contrast required to identify a) military targets, b) the standard MRTD and MTDP four-bar test pattern and c) the TOD equilateral triangle test pattern. First, the image containing the test object was spatially blurred by an amount varying from one pixel up to the maximum blur at which the object could still be identified or resolved. This mimics the effect of sensor optics and detector blur on the image of a target at different ranges. Then, band-limited noise was added to the image. The center spatial frequency f_c of the masking noise was varied over 7.0 octaves. Observers had to indicate at which target contrast they were just able to identify the target. The results are a) identification thresholds for all targets are strongly elevated by masking noise of certain spatial wavelengths and much less by coarser or finer noise, showing that identification by human observers is mediated by a relatively narrow visual filter, and b) with increasing blur, maximum masking shifts towards lower noise spatial frequencies in a consistent but non-linear way. Current popular TA models are inconsistent with these results but suggestions for improvement are presented. The laboratory test patterns are appropriate to characterize target acquisition performance with viewing systems that include noise and blur.
机译:我们调查带限量掩蔽噪声的影响和模糊对识别A)军事目标的最小对比度,B)标准MRTD和MTDP四条试验图案和C)TOD等边三角形测试模式。首先,含有测试物体的图像在空间上模糊,其从一个像素变化到最大模糊的量,其中仍然可以识别或解决对象的最大模糊。这种模仿传感器光学和检测器模糊对不同范围的目标图像的影响。然后,将带限量噪声添加到图像中。掩蔽噪声的中心空间频率f_c在7.0八发八峰时变化。观察者必须表明他们只能识别目标的目标对比。结果是A)对于所有目标的识别阈值通过掩蔽某些空间波长的噪声而强烈地升高,并且通过粗糙或更精细的噪声缩小,显示人类观察者的鉴定由相对狭窄的视觉过滤器和B)随着增加的模糊而介导,以一致但非线性方式朝向更低的噪声空间频率转换到更低的噪声空间频率。目前流行的TA模型与这些结果不一致,但提出了改进的建议。实验室测试模式适用于具有包括噪声和模糊的观察系统的目标采集性能。

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