Deep learning algorithms for through-the-wall imaging
This study investigates deep learning-augmented inverse-scattering schemes that combine physics-based modeling with the learning capability of neural networks and shows that U-net achieves the highest accuracy, while Mask R-CNN offers competitive accuracy and removes boundary defects, making it highly effective for TWI...