cloudisyzy/Synthetic-Aperture-Radar-Image-Synthesis-via-Generative-Adversarial-Networks-and-Target-Features
A Bachelor Degree Project using GAN to Generate Synthetic Aperture Radar Images
This project helps defense analysts and remote sensing specialists generate synthetic Synthetic Aperture Radar (SAR) images. By taking descriptions of target characteristics, it produces new SAR images, which are essential for training and improving target recognition systems when real-world SAR data is scarce or expensive to acquire. This is particularly useful for those working with limited SAR datasets.
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Use this if you need to create additional SAR images to enhance the training data for your target recognition algorithms, especially when real SAR data is limited or costly.
Not ideal if you need a plug-and-play solution with pre-trained models and datasets, as you will need to acquire the MSTAR dataset separately and train the models yourself.
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Oct 05, 2024
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