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20212025
most citedThe hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images

3 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

physics.ins-det2025

Testing a Computed Tomography Imaging Spectrometer for Earth Observations on the HEIMDAL Stratospheric Balloon Mission

Mads Juul Ahlebæk, Albertino Antonio Almeida Bach, Loui Collin-Enoch +13

Stratospheric High Altitude Balloons (HABs) have great potential as a remote sensing platform for Earth Observations that complements orbiting satellites and low flying drones. At…

physics.app-ph2024

Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes

Mads Svanborg Peters, Mads Juul Ahlebæk, Mads Toudal Frandsen +5

In this paper, a recently developed snapshot hyperspectral imaging (HSI) system based on Computed Tomography Imaging Spectroscopy (CTIS) is utilized to determine Brix and pH values…

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…