Revolutionizing SAR Data Reconstruction with ML Models

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This research presentation delves into the intersection of Frequency-Modulated Continuous-Wave Synthetic Aperture Radar (FMCW-SAR) and cutting-edge machine learning (ML) advancements. It begins with an overview of near-field FMCW-SAR and recent ML techniques, exploring challenges in classical reconstruction methods like Matched Filtering (MF) and Back Projection (BP). We introduce innovative ML methodologies, including unique data pipelines and strategies like PINN-SAR and ResNet-SAR,...