Automated Material Map Generation for Terahertz Images based on Neural Networks

In this paper, an approach for automated material mapping based on neural networks for terahertz images is proposed. The classification method is applied on focused transmission measurements of a terahertz time-domain spectroscopy (THz-TDS) system for 13 different 3-D printed polymers. With our approach, a classification accuracy of around 95 % was achieved.