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Automatic target recognition during sensor motion and vibration

机译:在传感器运动和振动过程中自动识别目标

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Abstract: The resolution capability of imaging systems is effected by a blurring effect due to the vibration and motion recorded in the image. This disturbance is often more severe than electronic and optical limitations inherent in the system. This fact must be considered when dealing with the development and analysis of automatic target recognition (ATR) systems for military applications. The aim of this research is to analyze the influence of image vibrations and motion upon the probability of acquiring the target with an ATR system. The analysis includes factors that characterize the relationship existing between the target and its background. A high level of correlation is expected between these factors and the probability of target detection, enabling efficient performance in the prediction and evaluation of any ATR system. The results of this research can be implemented in military applications as well as in developing image restoration procedures for image-blur conditions. !12
机译:摘要:由于图像中记录的振动和运动,模糊系统会影响成像系统的分辨率。这种干扰通常比系统固有的电子和光学限制更为严重。在开发和分析用于军事应用的自动目标识别(ATR)系统时,必须考虑到这一事实。这项研究的目的是分析图像振动和运动对使用ATR系统获取目标的概率的影响。分析包括表征目标与其背景之间存在的关系的因素。这些因素与目标检测的可能性之间具有高度的相关性,从而可以有效地预测和评估任何ATR系统。这项研究的结果可以在军事应用中以及在为图像模糊条件开发图像恢复程序中实现。 !12

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