A Novel ITU-Net for GPR Image Clutter Removing

GPR clutter removal significantly benefits subsequent target recognition, detection, and imaging, enhancing the subsequent processing quality. Traditional clutter removal approaches can only remove noise in simple environments. To solve this problem, We proposed a novel improved triplet attention u-net(ITU-Net) which focuses on the hyperbolic feature w e need while disregarding irrelevant ground clutter and other background noise. The ITU-Net network enhances image reconstruction capability and facilitates rapid image processing. The improved triplet attention module captures cross-domain interaction between any two domains between H, W, and C and considers long-distance dependencies separately in H, W, and C. The experimental results demonstrate that we can effectively retain the information of the hyperbolas while eliminating noise in complex environments.