基于三维滤波的红外弱小目标检测技术研究

Research on infrared small target detection technology based on 3D filtering

为了提升帧差法在复杂环境中低信噪比目标的检测效果,基于运动目标在时间上具有连续性的原理,利用检测前跟踪的算法,通过三维滤波预处理和目标轨迹性判断相结合的设计准确筛选出目标,达到在保持高检测率的前提下降低虚警的效果,对弱小目标检测具有显著意义。

To improve the detection effect of frame difference method on low SNR target in complex environment,in this paper,based on the principle that moving targets have continuity in time,the tracking algorithm before detection is used to accurately screen targets through the design combining 3d filtering preprocessing and target trajectory judgment,so as to achieve the effect of reducing false alarm on the premise of maintaining a high detection rate,which is of significant significance for dim small targets detection.