Miriam Cha

Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements

In recent years, convolutional neural networks (CNNs) have been successfully applied for automatic target recognition (ATR) in synthetic aperture radar (SAR) data. However, it is challenging to train a CNN with high classification accuracy when labeled data is limited. This is often the case with SA…