Target searching method for staring infrared warning system based on curvature limit
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摘要: 为了降低红外焦平面告警系统中较高的虚警率，提出了一种速度限制基础上基于曲率限制的目标搜索算法。以视场角5.34.0凝视型红外告警系统为例，在MATLAB中对红外图像序列进行了目标搜索实验，验证了该算法的可行性。按照蒙特卡罗法思路模拟了包含大量随机噪声的目标场景，研究了该算法相比传统多帧检测算法对随机噪声的抗干扰性。对该算法的搜索帧数进行了扩展，给出了不同搜索帧数的搜索效果和时效性表现。Abstract: A curvature threshold based target searching method is reported in order to reduce the high false alarm rate in staring infrared warning system. A staring infrared warning system with view field of 5.34 is chosen to simulate the infrared search process in MATLAB, proving the feasibility of the proposed algorithm. Target scene with a large amount of random noise is simulated according to Monte-Carlo method to compare the search performance of the proposed algorithm with the classical 3D matched-filter method. The number of search frames is discussed to expand the proposed algorithm, and the search performance and temporal limit are also reported for different search frames.
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Key words:
- angle space /
- 3D match filter /
- maneuverable limit /
- temporal limit /
- multi-frame searc
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