SAR Data Simulation and Generation for Machine Learning

Code written by: Shraddha Naidu (DatasetGenerator/Backprojection/Bump Functions) and David J. McMahon (Forward Map/Bump Functions)This release contains the complete codebase for the simulation and generation of Synthetic Aperture Radar (SAR) data. The SAR data is generated from a virtual antenna flying at a height of 5 meters along a circular flight path, with additional simulated passes at two other altitudes.🔍 FeaturesSAR signal modeling and simulationSynthetic data acquisition along a circular flight trajectoryPhase-only SAR image reconstruction (backprojection)Support for generating terrain images from three antenna heights🛠 UsageTo generate a dataset, call the following function:SAR_Dataset_Generation(number_of_samples) This function:Simulates SAR phase-only dataReconstructs images via backprojectionSaves the generated data and images for analysis🧾 NotesOnly phase data is used—amplitude is not included.The output images are phase-only reconstructions.Ideal for SAR imaging research and algorithm development.