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2026

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...

Xue-Lei Li, Qiyang Pi, Yonghao Wang · 0 citations

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