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

机译：用于掠海反舰导弹系统的光流辅助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：军舰通常使用红外线诱饵来防御红外线反舰导弹系统。对于反舰导弹，拥有快速而强大的红外对抗技术（IRCCM）算法对于整个系统的性能至关重要。本文介绍了一种简单有效的IRCCM方法，用于海掠导弹系统。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有关场景中是否存在诱饵的关键信息。这个想法得到了另一个基于强度的准则的支持。但是，光流计算会产生巨大的计算量，并且为了加快算法速度并降低误报率，使用霍夫变换检测水线，并且仅将水流计算应用于水线上方有余量的区域。由于对军舰和诱饵的红外签名都进行了分类，因此使用红外场景生成器创建了一些场景。场景生成器可以通过考虑对象的材料信息，大气条件，探测器类型和区域来对对象进行建模。总体方法学的性能已通过该红外测试数据进行了测试。

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