We utilize the radar sounder data (radargrams) for automatic subsurface target identifications. We develop an enhaced unsupervised framework (based of selfi-supervised Vision Transformers) for the semantic segmentation of radar sounder signal.

The radar sounder data (radargrams) are used in this research work for subsurface target characterizations. We develop a hybrid Transformer-based Deep Learning framework in the domain of semantic segmentation of radar sounder data.