The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images. (arXiv:2205.15772v1 [eess.IV])

We present a simple but novel hybrid approach to hyperspectral data cube
reconstruction from computed tomography imaging spectrometry (CTIS) images that
sequentially combines neural networks and the iterative Expectation
Maximization (EM) algorithm. We train and test the ability of the method to
reconstruct data cubes of $100\times100\times25$ and $100\times100\times100$
voxels, corresponding to 25 and 100 spectral channels, from simulated CTIS
images generated by our CTIS simulator. The hybrid approach utilizes the
inherent strength of the Convolutional Neural Network (CNN) with …

algorithm arxiv convolutional neural networks hybrid hybrid approach images networks neural networks