Coupled-Learning GAN for Inversion of GPR Pipe Images
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DOI: 10.1109/lgrs.2023.3274681
Abstract: Underground pipelines are often detected and identified using ground-penetrating radar (GPR), which requires an inversion process to obtain specific pipeline properties. Unfortunately, this process is an ill-posed problem that involves inferring complex subsurface structures from… read more here.
Keywords: inversion; simulated clutter; gpr; coupled learning ... See more keywords