SAR Imaging Processing Toolkit

This toolkit provides comprehensive SAR imaging processing capabilities, implementing multiple core algorithms such as Polar Format Algorithm (PFA) for rectangular grid processing, Range Migration Algorithm (RMA) for precise frequency-domain imaging, Backprojection (BP) for time-domain reconstruction, and Chirp Scaling Algorithm (CSA) for efficient range cell migration correction. The package enables users to perform SAR image reconstruction, target detection, and terrain classification through well-structured MATLAB/Python functions with configurable parameters. Key features include phase history data preprocessing, motion compensation modules, and interactive result visualization tools. Additional utilities support data calibration, image quality assessment, and batch processing workflows. Both researchers and engineers can leverage this toolkit's modular architecture and detailed documentation to accelerate SAR data analysis while maintaining processing accuracy across various imaging scenarios.