基于邻域分析TDLMS滤波器的红外小目标检测

DETECTING INFRARED SMALL TARGET BY USING TDLMS FILTER BASED ON NEIGHBORHOOD ANALYSIS

使用基本的TDLMS滤波器可以用来进行小目标检测,但是由于其结构和算法的限制,在进行目标检测的过程中会产生一些困难.提出了一种基于邻域分析的TDLMS滤波器,改造了滤波器输入窗口结构,并加入了新的数据处理模块,使其能够更多地获取和利用目标邻域内的信息,并获得更为显著的检测效果.实验证明了该算法的有效性.

TDLMS filter can be used for small target detection. However, the limitation of the structure of the filter and algorithm has created some difficulties in the detection. Here a TDLMS filter based on neighborhood analysis was proposed which would improve the structure of the input window and incorporate new data processing blocks. In this way more information would be obtained and used around the target, and more remarkable detection effects would be gotten. Experimental results prove the effectiveness of the proposed algorithm in detecting targets.