Acta Photonica Sinica, Volume. 48, Issue 9, 910001(2019)
Infrared Small Target Detection Based on Adaptive Doublelayer TDLMS Filter
An infrared small target detection algorithm based on adaptive filter is proposed, which consists of twolayer Two Dimensional Least Mean Square Filter (TDLMS) filters: background removal and target extraction. The background template and target template are introduced, and the original infrared image is processed by TDLMS filtering method. The background noise and clutter are eliminated effectively, while the target information is preserved as much as possible. In the implementation of TDLMS algorithm, an automatic stepsize adjustment algorithm is proposed. The optimal weights of TDLMS filters can be iterated by adjusting the adaptive stepsize through the statistical parameters of the image, and then fused with the weight template, which effectively enhances the detection effect of the target. The experimental results show that the method can adapt to target detection under different background, and effectively improve the detection performance of small infrared targets.
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ZHANG Yixuan, LI Ling, XIN Yunhong. Infrared Small Target Detection Based on Adaptive Doublelayer TDLMS Filter[J]. Acta Photonica Sinica, 2019, 48(9): 910001
Received: Apr. 26, 2019
Accepted: --
Published Online: Oct. 12, 2019
The Author Email: Yixuan ZHANG (353343893@qq.com)