TGRS-2021-03088_Proof_hi_removed.pdf (7.91 MB)
Download fileTransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
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.
Funding
2018-25-HH.0
History
Email Address of Submitting Author
raghosh@fbk.euORCID of Submitting Author
0000-0002-0494-5891Submitting Author's Institution
FBK - University of TrentoSubmitting Author's Country
- India