Phase Unwrapping for Interferometric SAR Data

This MATLAB source program is designed to perform phase unwrapping on interferometric SAR (Synthetic Aperture Radar) data. The implementation typically utilizes algorithms such as branch-cut or minimum-cost flow methods to resolve 2π phase ambiguities in interferograms. Through phase unwrapping, the code generates more accurate SAR imagery by reconstructing absolute phase values from wrapped phase measurements, enabling improved data analysis and interpretation. Phase unwrapping constitutes a critical processing step that eliminates phase confusion in interferometric SAR data, significantly enhancing both image quality and the accuracy of information extraction. The code likely includes functions for quality-guided unwrapping path determination and phase consistency checks to handle noisy regions. Additionally, this MATLAB source program incorporates supplementary data processing and analysis capabilities, such as image filtering techniques (e.g., Goldstein or adaptive filters) and image enhancement operations. These features make the program not only effective for solving phase unwrapping challenges but also versatile for providing expanded possibilities and flexibility in research applications related to radar remote sensing and topographic mapping. The implementation structure typically follows standard SAR processing workflows, with modular functions for phase quality map generation, unwrapping path optimization, and phase integration, making it suitable for both educational and research purposes in radar signal processing.