Residue Classification-Based Robust Phase Unwrapping in High-Noise Region

Synthetic aperture radar interferometry can obtain information on the surface of earth. In fact, accuracy phase unwrapping directly affects digital elevation model, but problem that has been puzzling people is low in high-noise regions. To solve this problem, we propose a new approach based an improved branch-cut method, which classifies branch cut. First, connect short cuts and then use network-flow method to long cuts. By categorized cuts, each type cut processes part residues divides region with high residue density into two regions for unwrapped, solves The experimental results simulation measured data show RCBC shows regions, very total length connected strong robustness.