SAR Data and MATLAB Files

This resource presents Synthetic Aperture Radar (SAR) data and corresponding MATLAB files, offering valuable materials for researchers and engineers. Users can leverage MATLAB's signal processing toolbox to analyze these datasets through various techniques such as image formation algorithms (e.g., Range-Doppler or Omega-K algorithms), speckle filtering, and terrain classification. The MATLAB files likely contain functions for data preprocessing, phase history processing, and SAR image reconstruction. Researchers can perform comparative analysis by integrating these datasets with other SAR sources or optical imagery, enabling comprehensive studies in remote sensing applications. These materials support advanced research in areas like target detection, change detection, and environmental monitoring using MATLAB's built-in functions for Fourier transforms, matrix operations, and image processing. The resource serves as a foundation for developing custom SAR processing pipelines and validating new algorithms against real radar data.