TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for
Semantic Segmentation of Radar Sounder Data
Abstract
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.