2022
DOI: 10.1049/ipr2.12682
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Compressive sensing reconstruction of hyperspectral images based on codec space‐spectrum joint dense residual network

Abstract: The spatial and spectral information contained in the hyperspectral image (HSI) make it widely used in many fields. However, the sharp increase of HSI data brings enormous pressure to the data storage and real-time transmission. The research shows that hyperspectral compressive sensing (HCS) breaks through the bottleneck of the Nyquist sampling theorem, which can relieve the massive pressure on data storage and real-time transmission. Existing HCS methods try to design advanced compression sampling matrix or r… Show more

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