/SAR_GENERATIVE_MODEL

This is the source code of ‘Synthetic Aperture Radar Image Generation with Deep Generative Models’ paper

Primary LanguagePython

This is the source code of ‘Synthetic Aperture Radar Image Generation with Deep Generative Models’ paper Operating environment:MATLAB R2016 and Tensorflow 1.9.0 Please run ./loadData/loadMSTAR.m to load MSTAR raw files, and save the trainData.mat,trainAangle.mat and trainLabel.mat files to the ./data folder. Please run ./run_main.py to train the model. When the training is finished, the generated images will be automatically saved in the fakeimdb_loss_*.mat,angle.mat,label.mat file. Models trained with angles and labels can produce better quality images, and models trained using only labels can improve recognition rates.