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首页> 外文期刊>The Open Automation and Control Systems Journal >Detection and Tracking of Infrared Dim Small Image Sequence MovingTarget
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Detection and Tracking of Infrared Dim Small Image Sequence MovingTarget

机译:红外弱小图像序列运动目标的检测与跟踪

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Infrared dim target detection and tracking is widely used in precision guidance, automatic control and otherfields. As the small target imaging system has far distance, small area, low SNR infrared characteristics and undergoesimage preprocessing, dim target detection technology is more important and more difficult. As a full play of the advantagesof infrared small target detection technique has been provided, this has significance in infrared imaging. Basedon introducing the tracking technology development status at home and abroad by the study of small target detection, theproblems of detecting and tracking small moving target in infrared image sequence of background noise and interferenceconditions, aiming at dynamic planning in energy diffusion problem are presented. The improved algorithm of dynamicprogramming is also presented including weighted dynamic programming algorithm and the realization steps of the algorithm.Detection structure and the experimental results are analyzed. The results show that the algorithm has a good effect.In the end, this paper studies the rejected false targets in IR image track association method to obtain real object trajectoriesfor moving small target detection, so as to improve the detection rate and reduce the false alarm rate.
机译:红外弱小目标检测与跟踪广泛应用于精密制导,自动控制等领域。由于小目标成像系统具有距离远,面积小,红外信噪比低等特点,并且经过图像预处理,因此弱目标检测技术变得越来越重要和困难。由于充分发挥了红外小目标检测技术的优势,这在红外成像中具有重要意义。在通过对小目标检测的研究介绍国内外跟踪技术发展现状的基础上,提出了在背景噪声和干扰条件的红外图像序列中检测和跟踪小运动目标的问题,旨在解决能量扩散问题中的动态规划问题。提出了改进的动态规划算法,包括加权动态规划算法和算法实现步骤。分析了检测结构和实验结果。结果表明该算法具有良好的效果。最后,本文研究了红外图像轨迹关联方法中剔除的虚假目标,以获取用于移动小目标检测的真实目标轨迹,从而提高了检测率,减少了虚警。率。

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