The Reference Point Method: Requirements-Based ICT Convergence Solution Development. - Wolfgang Groß; Torsten Meyer; Frank Zimmer; Claus Herrmann (RE, 2002)

An approach to fully unsupervised hyperspectral unmixing. - Wolfgang Groß; Hendrik Schilling; Wolfgang Middelmann (IGARSS, 2012)

Automatic modeling of nonlinear signal source variations in hyperspectral data. - Wolfgang Groß; Goksu Keskin; Hendrik Schilling; Andreas Lenz; Wolfgang Middelmann (IGARSS, 2014)

Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors. - Andreas Lenz; Hendrik Schilling; Dominik Perpeet; Sebastian Wuttke; Wolfgang Groß; Wolfgang Middelmann (IGARSS, 2014)

Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data. - Andreas Lenz; Hendrik Schilling; Wolfgang Groß; Wolfgang Middelmann (IGARSS, 2015)

Transformation of hyperspectral data to improve classification by mitigating nonlinear effects. - Wolfgang Groß; Sebastian Wuttke; Wolfgang Middelmann (WHISPERS, 2015)

Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks. - Wolfgang Groß; Sascha Lange; Joschka Bödecker; Manuel Blum 002 (ESANN, 2017)

Color-guided enhancement of airborne laser scanning data. - Goksu Keskin; Wolfgang Groß; Wolfgang Middelmann (IGARSS, 2017)

Towards Fast 3D Reconstruction of Urban Areas from Aerial Nadir Images for a Near Real-Time Remote Sensing System. - Nayeli Espinosa; Andreas Lenz; Wolfgang Groß; Wolfgang Middelmann (IGARSS, 2018)

Improving Linear Classification Using Semi-Supervised Invertible Manifold Alignment. - Wolfgang Groß; Nayeli Espinosa; Merlin Becker; Simon Schreiner; Wolfgang Middelmann (IGARSS, 2018)

Application of Nonlinear Feature Normalization on Combined Hyperspectral and Lidar Data. - Wolfgang Gross; Dimitri Bulatov; Peter Solbrig (IGARSS, 2019)

Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects. - Wolfgang Groß; Devis Tuia; Uwe Soergel; Wolfgang Middelmann (IEEE Trans. Geosci. Remote. Sens., 2019)

Nonlinear feature normalization for hyperspectral feature transfer - Wolfgang Groß (2019)

Feature Concatenation of Hyperspectral and DEM Data for Land Cover Classification. - Wolfgang Gross; Dimitri Bulatov; Simon Schreiner; Wolfgang Middelmann (IGARSS, 2020)

Hyperspectral Band Selection within a Deep Reinforcement Learning Framework. - Andreas Michel; Wolfgang Groß; Fabian Schenkel; Wolfgang Middelmann (IGARSS, 2020)

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)

Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors. - Simon Schreiner; Dubravko Culibrk; Michele Bandecchi; Wolfgang Gross; Wolfgang Middelmann (Autom., 2021)

Class-aware Object Counting. - Andreas Michel; Wolfgang Gross; Fabian Schenkel; Wolfgang Middelmann (WACV (Workshops), 2022)

Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification. - Jonathan González-Santiago; Fabian Schenkel; Wolfgang Gross; Wolfgang Middelmann (WHISPERS, 2022)

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)

Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification. - Jonathan González-Santiago; Fabian Schenkel; Wolfgang Gross; Wolfgang Middelmann (IGARSS, 2023)

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)

Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification. - Jonathan González-Santiago; Wolfgang Gross; Fabian Schenkel; Wolfgang Middelmann (WHISPERS, 2023)

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (CoRR, 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)

2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (WACV (Workshops), 2024)

Evaluation of Self-Supervised Learning Techniques for Non-Parametric Few-Shot Hyperspectral-Lidar Classification. - Jonathan González-Santiago; Wolfgang Gross; Wolfgang Middelmann (WHISPERS, 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)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)