InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module

In this documentation, I would like to provide an extended overview. The InSAR (Interferometric Synthetic Aperture Radar) technology developed by Delft University of Technology represents a crucial image processing technique for high-precision surface measurement and imaging of the Earth. The source code for the image processing component is implemented in MATLAB, utilizing key functions such as phase difference calculation, coherence estimation, and phase unwrapping algorithms like minimum cost flow or region growing methods. This MATLAB-based implementation offers significant flexibility and user accessibility, enabling researchers and engineers to thoroughly understand InSAR operational principles through modular code structure. The codebase includes core functionalities for interferogram generation, filtering techniques (such as Goldstein filtering), and elevation model reconstruction, allowing for further optimization and enhancement of processing pipelines. Ultimately, this source code holds substantial importance for both research and practical applications in the field of interferometric synthetic aperture radar.