针对低信噪比条件下红外弱小目标的相关检测算法存在的局限性,本文提出组合式相关检测算法。基于DBT的相关检测算法运算量小但检测性能较差,而基于TBD的相关检测算法检测性能较高但计算复杂。根据对两者优缺点的分析,采用将两种算法级联的方法,首先使用基于TBD的相关检测算法形成一个过渡帧,再以此为基础使用基于DBT的相关检测算法进行进一步检测。算法性能分析和实验结果均表明,低信噪比条件下该算法具有较高的检测性能并且计算量较低。

In view of limitation in correlation detection algorithm of weak and small infrared target,the combined correlation detection algorithm is proposed,which synthesizes the merits of correlation detection algorithm based on the Detect-before-track(DBT) and correlation detection algorithm based on the Track-before-detect(TBD) as two algorithm cascade method.First,the correlation detection algorithm based on TBD is used to form a transition frame,and then the correlation detection algorithm based on DBT is used to further detect.In certain detection time,the algorithm can make full use of target space and time information to further enhance target detection ability in the small and weak target infrared sequence with low signal-to-noise ratio.Algorithm performance analysis and experiment results prove that the validity of the algorithm in the condition of low signal-to-noise ratio.