A Multi-Scale and Multi-Temporal Hyperspectral Target Detection Experiment - From Design to First Results. - Marius Vögtli; Simon Schreiner; Jonas E. Böhler; Wolfgang Groß; Jannick Kuester; Jonas Mispelhorn; Andreas Hueni; Wolfgang Middelmann; Mathias Kneubühler (IGARSS, 2020)

Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. - Jannick Kuester; Wolfgang Gross; Simon Schreiner; Michael Heizmann; Wolfgang Middelmann (WHISPERS, 2022)

Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation. - Wolfgang Gross; Florian Queck; Simon Schreiner; Jonas Mispelhorn; Jannick Kuester; Wolfgang Middelmann; Marius Vögtli; Mathias Kneubühler (IGARSS, 2023)

Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. - Jannick Kuester; Wolfgang Groß; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IGARSS, 2023)

Hyperthun'22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign. - Marius Vögtli; Luc Sierro; Mathias Kneubühler; Simon Schreiner; Wolfgang Gross; Florian Queck; Jannick Kuester; Jonas Mispelhorn; Wolfgang Middelmann (IGARSS, 2023)

Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. - Jannick Kuester; Wolfgang Gross; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IEEE Trans. Geosci. Remote. Sens., 2023)

Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data. - Wolfgang Gross; Simon Schreiner; Jannick Kuester; Andreas Michel; Wolfgang Middelmann; Marius Vögtli; Luc Sierro; Mathias Kneubühler (IGARSS, 2024)

3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression. - Jannick Kuester; Wolfgang Gross; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IGARSS, 2024)

Effects of a Multi-Sensor Convolutional Autoencoder Model for Lossy Hyperspectral Data Compression on Surveillance Target Detection. - Jannick Kuester; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Wolfgang Gross; Michael Heizmann (WHISPERS, 2024)

DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation. - Andreas Michel; Martin Weinmann; Jannick Kuester; Faisal Alnasser; Tomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (Int. J. Comput. Vis., 2025)