TCN-GCN: a spatiotemporal neural network for multistep InSAR deformation prediction in geologically diverse regions
Accurate multi-step prediction of surface deformation monitored by Interferometric Synthetic Aperture Radar (InSAR) is critical for proactive disaster early warning in complex engineering environments. Existing approaches either neglect spatial dependencies among monitoring points or rely on recurrent architectures tha...