SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution

Easy and efficient acquisition of high-resolution remote sensing images is of importance in geographic information systems. Previously, deep neural networks composed of convolutional layers have achieved impressive progress in super-resolution reconstruction. However, the inherent problems of the co...

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Autors principals:	Jingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2022-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Convolutional layers generative adversarial network (GAN) remote sensing images super-resolution reconstruction swin transformer
Accés en línia:	https://ieeexplore.ieee.org/document/9829280/
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