InSAR MATLAB Toolbox

This document introduces the InSAR MATLAB toolbox, a robust suite designed for complete interferometric SAR processing workflows. The toolbox implements key algorithms such as baseline estimation through geometric calculations using satellite orbit parameters, advanced filtering techniques (e.g., Goldstein filtering) for phase noise reduction, and DEM generation via phase unwrapping and geocoding transformations. Users can leverage built-in functions like `baseline_estimate()` for precise spatial separation analysis, `insar_filter()` for adaptive phase preservation, and `dem_generator()` for topographic mapping with multi-looking and phase-to-height conversion. This integrated solution provides accurate baseline quantification, effective speckle reduction through frequency-domain filtering, and high-resolution digital elevation model production using phase unwrapping algorithms like branch-cut or minimum cost flow. Ultimately, the toolbox offers a comprehensive, user-friendly environment for end-to-end InSAR data processing and analysis.