An improved generative adversarial networks for remote sensing image super-resolution reconstruction via multi-scale residual block

Existing image super-resolution algorithms still suffer from the problems of not extracting rich image features and losing realistic high-frequency details. In order to solve these problems, this paper proposes an improved generative adversarial network algorithm for super-resolution reconstruction...

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Detalhes bibliográficos

Principais autores:	Fuzhen Zhu, Chen Wang, Bing Zhu, Ce Sun, Chengxiao Qi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-02-01
coleção:	Egyptian Journal of Remote Sensing and Space Sciences
Assuntos:	Super-resolution reconstruction GAN RaGAN Multi-scale residual block
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S111098232200120X
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