SN-1DcycleGAN: An Unsupervised Learning-Based Network for Sleeper Interference Suppression in Ballasted Track GPR Data
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DOI: 10.1109/tgrs.2024.3413993
Abstract: Ground-penetrating radar (GPR) is extensively used for evaluating the condition of ballast layers. However, the detection accuracy is often compromised by the significant interference caused by concrete sleepers, which can obscure the characteristics of the… read more here.
Keywords: gpr; gpr data; sleeper interference; unsupervised learning ... See more keywords