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Optical Flow Assisted IRCCM Algorithm for Sea Skimming Anti-Ship Missile Systems

机译：用于海撇船防船导弹系统的光学流量辅助IRCCM算法

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摘要

Military ships commonly use infrared decoys for defending themselves against infrared anti-ship missile systems. For anti-ship missiles, having a fast and robust infrared counter - counter measure (IRCCM) algorithm is crucial for overall system performance. In this paper, a straight-forward yet effective IRCCM method for sea skimming missile systems is introduced. First, the common tactics for disposing decoy are analyzed. The analysis shows that the vertical component of optical flow may contain critical information on whether there is a decoy in the scene. This idea is supported by another intensity based criterion. However optical flow calculations create a significant computational load, and to speed up the algorithm and decrease the false alarm rate, the waterline is detected by using Hough transform and the optical flow calculations are only applied to the region that is above the waterline with a margin. Since the infrared signature of both military ships and decoys are classified, some scenarios are created by using infrared scene generator. A scene generator can model the objects by considering its material information, the atmospheric conditions, detector type and the territory. The performance of overall methodology is tested with this infrared test data.
机译：军用船只通常使用红外诱饵来防御红外反舰导弹系统。对于防船导弹，具有快速且坚固的红外反计数器测量（IRCCM）算法对于整体系统性能至关重要。在本文中，介绍了对海撇渣导弹系统的直接但有效的IRCCM方法。首先，分析了处理诱饵的常见策略。分析表明，光流的垂直分量可能包含关于场景中是否存在诱饵的关键信息。此思想由另一个基于强度的标准支持。然而，光学流量计算创造了一个显着的计算负荷，并加快算法并降低误报率，通过使用霍夫变换来检测水线，并且光学流量计算仅应用于水线高于水线的区域。由于军事船舶和诱饵的红外签名被分类，因此使用红外场景发生器创建了一些情况。场景发生器可以通过考虑其材料信息，大气条件，探测器类型和领土来模拟物体。使用该红外测试数据测试了整体方法的性能。

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