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most citedThe hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

3 citations · 3 across the 3 of their papers we have counts for

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eess.IV2022★ 3 cited

The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

Mads J. Ahlebæk, Mads S. Peters, Wei-Chih Huang +3

We present a simple but novel hybrid approach to hyperspectral data cube reconstruction from computed tomography imaging spectrometry (CTIS) images that sequentially combines neura…

eess.IV2021

The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images

Wei-Chih Huang, Mads Svanborg Peters, Mads Juul Ahlebaek +3

A novel method, utilizing convolutional neural networks (CNNs), is proposed to reconstruct hyperspectral cubes from computed tomography imaging spectrometer (CTIS) images. Current…