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TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
  • Raktim Ghosh ,
  • Francesca Bovolo
Raktim Ghosh
FBK - University of Trento

Corresponding Author:[email protected]

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Francesca Bovolo
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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.
2022Published in IEEE Transactions on Geoscience and Remote Sensing volume 60 on pages 1-13. 10.1109/TGRS.2022.3180761