High-Resolution Semantically Consistent Image-to-Image Translation

Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing datasets means that scientists need to solve the domain adaptation (DA) problem to narrow the discrepancy between satell...

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Autors principals:	Mikhail Sokolov, Christopher Henry, Joni Storie, Christopher Storie, Victor Alhassan, Mathieu Turgeon-Pelchat
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Deep learning (DL) remote sensing (RS) spot-6 unsupervised domain adaptation (DA) WorldView-2
Accés en línia:	https://ieeexplore.ieee.org/document/9969990/
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