InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module

Resource Overview

MATLAB source code for InSAR image processing component developed by Delft University of Technology, Netherlands, featuring phase-based deformation analysis algorithms and radar interferometry implementations.

Detailed Documentation

This repository contains MATLAB source code for the InSAR (Interferometric Synthetic Aperture Radar) image processing component developed by Delft University of Technology. InSAR is a radar-based technique that measures surface deformation by analyzing phase differences in radar signals. The implementation includes core algorithms for processing radar interferograms to detect and quantify geological phenomena such as earthquakes, ground subsidence, vegetation growth, and tectonic movements. Key functions in this codebase handle phase unwrapping, coherence calculation, differential interferometry, and deformation mapping, providing researchers with practical tools to understand and apply InSAR methodology. This resource supports advancements in geoscience and remote sensing by offering operational code examples for interferometric data processing, quality assessment, and result visualization using MATLAB's image processing and mathematical computation capabilities.