Migration-Supervised Learning for Ground-Penetrating Radar Denoising and Imaging
Ground-penetrating radar (GPR) denoising is typically optimized in the radargram domain, whereas target interpretation is often performed after migration. This separation causes an imaging-inconsistency problem: a denoiser may improve visual quality or data-domain metrics while attenuating weak diffractions and phase-c...