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

Mads Toudal Frandsen; Wei-Chih Huang; Mads Svanborg Peters; René L. Eriksen; Bjarke Jørgensen; Mads Juul Ahlebaek

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

Mads Toudal Frandsen, Wei-Chih Huang, Mads Svanborg Peters, René L. Eriksen, Bjarke Jørgensen, Mads Juul Ahlebaek

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	arxiv.org
Publication status	In preparation - 2022

Documents & Links

https://arxiv.org/abs/2205.15772

1 Active

Food & Bio Cluster DK: Snapshot Hyperspectral imaging for food science across multiple scales
Frandsen, M. T., Eriksen, R. L., Huang, W. & Jørgensen, B.
01/05/2022 → 28/02/2023
Project: Research

Cite this

@article{e7c293d5443e4d58a801c27474ef5b1f,

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

author = "Frandsen, {Mads Toudal} and Wei-Chih Huang and Peters, {Mads Svanborg} and Eriksen, {Ren{\'e} L.} and Bjarke J{\o}rgensen and Ahlebaek, {Mads Juul}",

year = "2022",

language = "English",

journal = "arxiv.org",

}

TY - JOUR

T1 - The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

AU - Frandsen, Mads Toudal

AU - Huang, Wei-Chih

AU - Peters, Mads Svanborg

AU - Eriksen, René L.

AU - Jørgensen, Bjarke

AU - Ahlebaek, Mads Juul

PY - 2022

Y1 - 2022

M3 - Journal article

JO - arxiv.org

JF - arxiv.org

ER -

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

Documents & Links

Related projects

Food & Bio Cluster DK: Snapshot Hyperspectral imaging for food science across multiple scales

Cite this