Mads Juul Ahlebæk

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Investigating the Applicability of a Snapshot Computed Tomography Imaging Spectrometer for the Prediction of Brix and pH of Grapes
Peters, M. S., Ahlebæk, M. J., Frandsen, M. T., Jørgensen, B., Jessen, C. H., Carlsen, A. K., Huang, W.-C. & Eriksen, R. L., 5. Aug 2025, In: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 336, 11 p., 126017.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
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DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research
Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. & Christiansen, E. F. & 27 others, Gosvig-Leach, I. K., Gramstrup, R., Hermansson, B., Hesselvig, J., Jakobsen, J. M., Kjellberg, D. G., Lind, M. S., Lindhard, J., Mikkelsen, M., Millinge, O., Moltesen, T. M., Negendahl, S. D., Nielsen, A. B. K., Nielsen, G. B., Pedersen, M. C. F., Platz, A. S. S., Rosero, P., Savic, S., Sigurðsson, Í. Ó., Skjernov, G., Sørensen, N., Sørensen, S. G., Theil, A. G., Thomsen, J. B., Valsted, N., Vestergaard, A. & Karoff, C., 2024, In: Frontiers in Remote Sensing. 5, 14 p., 1474560.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
56 Downloads (Pure)
The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images
Ahlebaek, M. J., Peters, M. S., Huang, W.-C., Frandsen, M. T., Eriksen, R. L. & Jørgensen, B., 2023, In: Journal of Spectral Imaging. 12, 20 p., a1.
Research output: Contribution to journal › Journal article › Research

Open Access
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242 Downloads (Pure)
The application of convolutional neural networks for tomographic reconstruction of hyperspectral images
Huang, W. C., Peters, M. S., Ahlebæk, M. J., Frandsen, M. T., Eriksen, R. L. & Jørgensen, B., Sept 2022, In: Displays. 74, 102218.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
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199 Downloads (Pure)

1 Active
2 Finished

Infrared and Hyperspectral cameras for Climate Cubes
Frandsen, M. T. (Project participant), Eriksen, R. L. (Project participant) & Ahlebæk, M. J. (Project participant)
01/07/2023 → 31/12/2027
Project: Research
A High Altitude Balloon (HAB) platform
Frandsen, M. T. (Project participant), Ahlebæk, M. J. (Project participant), Eriksen, N. F. (Project participant), Lundquist, U. P. S. (Project participant), Schofield, O. B. (Project participant) & Johansen, D. (Project participant)
25/06/2024 → 24/12/2025
Project: Research
Climate Cubes
Eriksen, R. L. (Project participant), Iversen, N. (Project participant), Frandsen, M. T. (Project participant) & Ahlebæk, M. J. (Project participant)
01/11/2022 → 31/10/2023
Project: Research

SCC Fast track - Uddelingsrunde november 2022
Eriksen, R. L. (Recipient), Iversen, N. (Recipient), Frandsen, M. T. (Recipient) & Ahlebæk, M. J. (Recipient), 1. Nov 2022
Prize: Prizes, scholarships, distinctions

Mads Juul Ahlebæk

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Collaborations and top research areas from the last five years

Dive into details

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

DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research

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

The application of convolutional neural networks for tomographic reconstruction of hyperspectral images

Infrared and Hyperspectral cameras for Climate Cubes

A High Altitude Balloon (HAB) platform

Climate Cubes

SCC Fast track - Uddelingsrunde november 2022

Mads Juul Ahlebæk

Fingerprint

Collaborations and top research areas from the last five years

Research output

Projects

Prizes