基于运动方向估计的管道滤波算法

管道滤波算法提出了从时域角度解决弱小目标检测问题的思路,对于红外强起伏天空背景中弱点目标的检测问题,管道内强噪音的干扰以及低信噪比的条件会导致检测概率降低的情况出现.本文提出了一种运动方向估计的管道滤波算法,分析了红外弱点目标的运动特性,依据弱点目标在相邻帧间位置具有连贯性的特征,建立了弱点目标的运动方向估计模型.在模型中利用弱点目标逐帧检测的先验位置信息,估计弱点目标的运动方向和轨迹,根据估计结果去除管道内噪音对弱点目标的干扰.仿真结果表明,该方法能够很好地抑制管道内噪音的影响,提高弱点目标的检测概率,增强弱点目标抗管道内噪音干扰的能力.

Pipeline Filter Algorithm Based on Movement Direction Estimation

Pipeline filter algorithm proposes a solution of detection of dim small target from the perspective of time domain. In terms of detection of weak point target in the strongly undulant infrared sky background, a pipeline filter algorithm is proposed based on motion direction estimation as a method to improve the flaw of detection probability deduction due to the strong interferential noise within the pipeline and low signal noise ratio. The motion characteristics of infrared weak point target are analyzed and the motion direction estimation model was established according to the continuity characteristic of the targets between consecutive frames. Through the model, the prior position information of the targets is detected frame by frame and analyzed in order to estimate the motion direction and trajectory of the targets. The estimation results are used to eliminate the interference on the targets caused by the pipeline inner noises. Experiments and simulation results show that the algorithm can suppress noises in the pipeline effectively, increase the detection probability of the targets, and strengthen the resistance characteristic of the targets against the noises within the pipe.