InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module

This repository contains the source code for the InSAR (Interferometric Synthetic Aperture Radar) image processing module developed by Delft University of Technology in the Netherlands, implemented entirely in MATLAB. InSAR represents a sophisticated remote sensing technique for measuring ground deformation and crustal movements. The methodology involves analyzing interference patterns between Synthetic Aperture Radar (SAR) images to derive precise surface elevation information. The MATLAB-based implementation provides fundamental InSAR processing capabilities including image registration algorithms for precise alignment of SAR images, phase unwrapping techniques to resolve 2π ambiguities in interferograms, and deformation analysis modules for quantifying surface displacement. Key functions likely incorporate cross-correlation methods for registration, branch-cut or minimum-cost-flow algorithms for phase unwrapping, and geocoding routines for converting radar coordinates to geographic systems. Researchers and engineers can utilize this codebase to enhance their understanding and analysis of InSAR data, facilitating advanced studies of crustal dynamics, tectonic movements, and various geological deformation phenomena through customizable MATLAB workflows.