An Improved Method of the Finite-Difference Sparse Phase Unwrapping

Phase unwrapping (PU) is a significant problem for reconstructing the deformation field during synthetic aperture radar interferometry analysis. The various 2-D PU algorithms can be divided into two categories: path-following methods and optimization-based methods. former predefine an integration path in which phase gradient integrated to obtain unwrapped results. latter are independent error criterion oriented. of finite differences minimum cost flow solver describes global optimization between residues over closed spatial triangles computed redundant neighboring edge sets. We propose modified network using simplified mathematical formulation linear programming (LP) PU. Our algorithm has three major advantages current First, combines Delaunay triangulation K nearest points avoid isolated regions process. Second, LP directly ambiguity cycles all without integration. Finally, combination new achieve better results than other state-of-the-art techniques. applied our method real data from January 24, 2020 Mw 6.7 earthquake Doğanyol–Sivrice, Turkey August 8, 2017 6.5 Jiuzhaigou, China. Comprehensive comparisons validate effectiveness method.