Itoh-Constrained Hybrid Graph Learning With Sparse Supervision for InSAR Phase Unwrapping
Phase unwrapping (PU) is a fundamental step in synthetic aperture radar interferometry (InSAR), yet it remains an inherently ill-posed problem due to the $\text{2}\pi$ ambiguity of the interferometric phase. Existing deep learning-based PU methods typically rely on dense pixelwise supervision using absolute phase value...