Unpaired Remote Sensing Image Super-Resolution with Multi-Stage Aggregation Networks

Mainstream image super-resolution (SR) methods are generally based on paired training samples. As the high-resolution (HR) remote sensing images are difficult to collect with a limited imaging device, most of the existing remote sensing super-resolution methods try to down-sample the collected origi...

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Autors principals:	Lize Zhang, Wen Lu, Yuanfei Huang, Xiaopeng Sun, Hongyi Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-08-01
Col·lecció:	Remote Sensing
Matèries:	remote sensing unpaired super-resolution multi-stage aggregation network consistency losses
Accés en línia:	https://www.mdpi.com/2072-4292/13/16/3167
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