HYPERSPECTRAL COMPRESSIVE IMAGE RECONSTRUCTION WITH DEEP TUCKER DECOMPOSITION AND SPATIAL–SPECTRAL LEARNING NETWORK

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a single 2-D measurement.The core issue is how to reconstruct the underlying hyperspectral image (HSI), al

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Optimization of the parameters of truss beams with two posts

Based on the theoretical results obtained in read more the article [17], here the analysis of the influence of various design parameters on the own weight and cost of metal of truss beams with two posts is carried out.An optimal parameter has been obtained that makes it possible to reduce the calculated bending moment in the cross section of a trus

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