Particle swarm optimization (PSO) is proposed for detecting small moving target.
提出一种基于粒子群算法的运动小目标检测算法。
A new recognition algorithm of small moving target based on multi-feature fusion is presented.
提出一种新的基于多特征融合的弱小运动目标识别方法。
Recognition algorithms for small moving target in strong noise based on single feature has a high false alarm.
利用单个特征识别强噪声中的弱小运动目标，常因所提取的目标特征与噪声特征易混淆而导致高的虚警率。
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