A GPR Resolution Enhancement Method Based on Weakly Supervised Learning
Mei Zhou,
Xiaokai Wang,
Zhengsheng Shi
et al.
Abstract:Ground penetrating radar (GPR) is mainly used to detect underground structures in archaeology, military and other fields. In practice, the detection depth and resolution of GPR data are often difficult to balance. Therefore, it is vital to develop a method that can obtain both deeper distance and higher resolution. In this paper, a weakly supervised method for improving the resolution of GPR data based on the Cycle-Consistent Adversarial Network (Cycle-GAN) is proposed, which improves the quality of GPR data b… Show more
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