电光与控制, 2018, 25 (3): 78, 网络出版: 2021-01-21  

基于自适应TDLMS算法的弱小目标检测算法

Dim Small Target Detection Based on Adaptive TDLMS Algorithm
作者单位
郑州工业应用技术学院信息工程学院,河南 新郑 451150
摘要
提出一种基于自适应TDLMS算法的红外弱小目标检测算法。提出的改进TDLMS算法是在传统TDLMS算法的基础上, 采用提出的模板压缩及空心法评估背景与模板的差异, 并自适应调节迭代步长以进行背景滤波, 之后对背景进行差分运算, 从而检测目标。实验结果表明, 提出的改进TDLMS算法比传统TDLMS算法检测率更高。
Abstract
An infrared dim and small target detection algorithm is proposed based on adaptive Two-Dimensional LMS (TDLMS). Based on the traditional TDLMS algorithm, the improved TDLMS algorithm can evaluate the difference between the background and the template by using template compression and the hollow method, and adjust the iterative step size adaptively to carry out background filtering. And then a differential operation is performed to the background image for target detection. The experimental results show that the improved TDLMS method has a higher detection rate than the traditional TDLMS method.

王喜军. 基于自适应TDLMS算法的弱小目标检测算法[J]. 电光与控制, 2018, 25(3): 78. WANG Xijun. Dim Small Target Detection Based on Adaptive TDLMS Algorithm[J]. Electronics Optics & Control, 2018, 25(3): 78.

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