SDANet achieves state-of-the-art hyperspectral image super-resolution performance on two benchmark datasets by dynamically sparsifying channel attention and jointly modeling spatial-frequency representations.
Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using deep forest
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Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution
SDANet achieves state-of-the-art hyperspectral image super-resolution performance on two benchmark datasets by dynamically sparsifying channel attention and jointly modeling spatial-frequency representations.