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. 🔍 Features SAR signal modeling and simulation Synthetic data acquisition along a circular flight trajectory Phase-only SAR image reconstruction (backprojection) Support for generating terrain images from three antenna heights 🛠 Usage To generate a dataset, call the following function: SAR_Dataset_Generation(number_of_samples) This function: Simulates SAR phase-only data Reconstructs images via backprojection Saves the generated data and images for analysis 🧾 Notes Only phase data is used—amplitude is not included. The output images are phase-only reconstructions. Ideal for SAR imaging research and algorithm development.