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Automatic target recognition during sensor motion and vibration

机译:传感器运动和振动期间自动目标识别

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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.
机译:成像系统的分辨率通过由于图像中记录的振动和运动而产生的模糊效果。这种干扰通常比系统中固有的电子和光学限制更严重。在处理用于军事应用的自动目标识别(ATR)系统的开发和分析时,必须考虑这一事实。该研究的目的是分析图像振动和运动对通过ATR系统获取目标的可能性的影响。分析包括表征目标与背景之间存在关系的因素。在这些因素和目标检测的概率之间预期高水平的相关性,在任何ATR系统的预测和评估中实现有效性能。该研究的结果可以在军用应用中实施,以及开发图像模糊条件的图像恢复程序。

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