复杂背景下红外点目标的检测  

Detection of infrared point target filters in varying clutter

作　　者：张弘[1] 赵保军[1] 毛二可[1] 朱梦宇[1] 

机构地区：[1]北京理工大学电子工程系,北京100081

出　　处：《红外与激光工程》2001年第2期96-98,111,共4页Infrared and Laser Engineering

摘　　要：在分析红外点目标、噪声及杂波模型的基础上 ,提出了基于二次滤波的复杂背景下红外点目标的检测算法 ,该算法由二阶滤波器组成。根据点目标的模型特点 ,通过选择合适的高通滤波器 ,可有效地增强信噪比、抑制噪声。实验结果表明该算法效果良好。In this paper, an infrared point target detection algorithm based on two filters in spatially varying clutter is presented. The target and clutter model is analyzed correctly, and very small (point) target under spatially varying clutter background is successfully detected with the algorithm, when the target and clutter are both moving across the image scene. This method can reduce the cost of computation, track the target in real-time, enhance the SNR, and suppress the clutter effectively. \;

关 键 词：复杂背景 马尔可夫模型 高通滤波 自适应门限 红外检测 高目标检测 

分 类 号：TN215[电子电信—物理电子学]