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Dual camera snapshot hyperspectral imaging system via physics informed learning
[article]
2021
arXiv
pre-print
We consider using the system's optical imaging process with convolutional neural networks (CNNs) to solve the snapshot hyperspectral imaging reconstruction problem, which uses a dual-camera system to capture the three-dimensional hyperspectral images (HSIs) in a compressed way. Various methods using CNNs have been developed in recent years to reconstruct HSIs, but most of the supervised deep learning methods aimed to fit a brute-force mapping relationship between the captured compressed image
arXiv:2109.02643v2
fatcat:5wirlbqrnzhszmryoc3ku4nz5i