Minimum Network Flow Method for Phase Unwrapping in InSAR

This text describes MATLAB source code for the minimum network flow method of phase unwrapping in InSAR that can run perfectly. Let's explore this topic in greater depth. InSAR is a technique used to acquire surface deformation information by measuring phase changes of points on the Earth's surface. However, these phase changes are affected by various factors such as other surface movements and atmospheric effects. Therefore, these influences must be eliminated to obtain accurate deformation information. The minimum network flow method for phase unwrapping is a commonly used approach that can improve the accuracy of InSAR data. This algorithm works by constructing a network flow model where phase gradients are treated as flow constraints, and the solution finds the minimum cost flow that satisfies continuity conditions across the entire interferogram. The MATLAB implementation typically involves key functions for network construction, cost calculation, and flow optimization using linear programming techniques. Leveraging MATLAB's powerful computational capabilities, the phase unwrapping source code can be conveniently implemented with functions handling matrix operations, optimization algorithms, and visualization tools. Thus, this fully functional MATLAB source code can provide more precise data support for surface deformation studies, enabling researchers to efficiently process interferometric data and extract reliable deformation measurements through robust phase unwrapping implementation.