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Review Open access Sep 2026

Physically consistent interpolation of sparse marine magnetic anomaly data using physics-informed neural networks

High-resolution and spatially continuous magnetic anomaly datasets are crucial for accurate geological interpretation and resource exploration. However, real-world marine shipborne surveys often suffer from sparse sampling, irregular track lines, and significant data gaps, making accurate field reconstruction a funda...

Li Chen, Long-Wei Chen, Leyuan Wu et al. · 0 citations

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