Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution

Hyperspectral images (HSIs) with high spatial resolution are challenging to obtain directly due to sensor limitations. Deep learning is able to provide an end-to-end reconstruction solution from low to high spatial resolution. Nevertheless, existing deep learning-based methods have two main drawback...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2024-01, Vol.62, p.1-1
Hauptverfasser: Liu, Tingting, Liu, Yuan, Zhang, Chuncheng, Yuan, Liyin, Sui, Xiubao, Chen, Qian
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Sprache:eng
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