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分析了红外点目标的成像特性 ,介绍了带通滤波的特点和设计方法 ,并在对数据进行滤波处理后采用基于位置和灰度相关算法对目标进行确认 ,引入了海天线的计算模型。该方法适应性强 ,处理效果好 ,对海背景干扰和天空云层干扰具有较高的抑制作用。通过卷积实现的带通滤波算法计算简明 ,且容易由硬件实现 ,对运动小目标的检测具有较强的应用价值。实验结果表明该算法能够检测出海天背景下帧间移动的低信噪比的红外小目标。
The imaging characteristics of the infrared point target are analyzed. The characteristics of the bandpass filter and the design method are introduced. After the data is filtered, the target is confirmed by the position and gray correlation algorithm. The calculation model of the sea antenna is introduced. The method has strong adaptability, good treatment effect and high inhibitory effect on sea background interference and sky cloud interference. The band-pass filtering algorithm realized by convolution is concise and easy to implement by hardware and has strong application value for the detection of small moving targets. The experimental results show that this algorithm can detect infrared small targets with low signal-to-noise ratio in inter-frame movement in sea background.