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The acquired hyperspectral data are always in low resolution in both spatial and spectral domains, which will result in lots of mixed pixels and degrade the detection and recognition performance in civil and military applications. So many super resolution techniques are applied to overcome this limit. In this paper, we propose a coupled hyperspectral spatial super-resolution and spectral unmixing...
Hyperspectral noise is unavoidable in capture and transmission process, and it will degrade the detection and classification performance greatly. Noise free signal can be approximated using few atom or basis, while noisy signal is not. There are lots of similar spatial-spectral structures in noise free hyperspectral image. On the other hand, hyperspectral image of different bands are highly correlated,...
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