SAR (Synthetic Aperture Radar) Simulation Program

The Synthetic Aperture Radar (SAR) simulation program is a key research project that has received substantial investment from our institution. My graduate thesis specialized in SAR image feature extraction, where I conducted in-depth research and analysis of various methodologies. The study involved implementing multiple feature extraction algorithms through MATLAB and Python coding environments, including texture analysis, statistical feature computation, and frequency-domain processing techniques. In my research, I investigated different SAR image feature extraction methods and developed a novel algorithm that enhances feature accuracy and reliability through optimized filtering and classification procedures. The implementation included key functions for speckle noise reduction, edge detection, and pattern recognition algorithms. I conducted extensive experimental validation and data analysis using real SAR datasets, demonstrating the algorithm's effectiveness and advantages through quantitative performance metrics and comparative studies. This research has provided me with comprehensive understanding of SAR technology applications and development trends. I believe both this simulation program and my thesis research will contribute positively to future advancements in SAR technology applications. I look forward to continuing related research work and making further contributions to SAR technology development through improved algorithmic implementations and practical applications.