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...