提出了一种基于目标能量的红外目标提取算法。这种算法利用目标相对角速度大于瞬时视场时图像会产生拖尾的现象, 采用能量叠加来增强目标与背景的信噪比,从而实现对信噪比小于或等于5的远距离红外空间目标的探测和跟踪。此算法运算量小,可在硬件上实现。实验表明,此算法能实时探测和跟踪距离不小于15 km的红外空间目标,且探测概率可达96%。

An infrared target extraction algorithm based on the energy of a target is proposed. By utilizing the phenomenon that the image may smear when the relative angular velocity of a target exceeds the instantaneous field of view, the algorithm enhances the signal-to-noise ratio of the target and background through energy accumulation. Thus, a remote infrared target with the signal-to-noise ratio less than or equal to 5 can be detected and tracked. The algorithm has a small computation amount and is easy to be implemented on hardware. The experimental result shows that this algorithm can detect and track an infrared target which is 15 kilometers away with a detection probability of 96%.