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

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posted on 2021-11-01, 13:57 authored by Raktim GhoshRaktim Ghosh, Francesca Bovolo
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.eu

ORCID of Submitting Author

0000-0002-0494-5891

Submitting Author's Institution

FBK - University of Trento

Submitting Author's Country

  • India

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    Keywords

    radar dataDeep Learning ApplicationsTransformer Modelssemantic segmentation

    Licence

    CC BY 4.0

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