SAR Image Change Detection

The program utilizes advanced algorithms and techniques to efficiently detect changes in SAR targets. Through comprehensive testing, it demonstrates excellent performance by accurately identifying missed detections and false alarms at the pixel level, while clearly presenting change maps and classification results. The implementation employs sophisticated image processing methods including difference image generation, threshold-based segmentation, and morphological operations to highlight changed regions. Additionally, the system provides error comparison metrics against reference data, enabling users to better understand detection accuracy through quantitative analysis. Key functions include noise reduction filtering, feature extraction from SAR amplitude/phase data, and post-processing refinement to reduce false positives. By leveraging this program, users can conduct detailed analysis of SAR target changes, generating valuable insights for subsequent research and decision-making processes. The code architecture supports modular processing chains where users can customize detection thresholds and validation parameters according to specific application requirements.