Self-Supervised Network-Based Atmospheric Phase Compensation Method for GB-InSAR
In ground-based interferometric synthetic aperture radar (GB-InSAR), the atmospheric phase (AP) can exhibit complex spatial variation due to rapid weather changes and steep topography. Conventional parametric-model-based compensation methods become inapplicable. Existing deep learning methods mostly rely on full superv...