Classification with Controlled Robustness in High-Resolution SAR Data. - Wolfgang Middelmann (DAGM-Symposium, 2003)

Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control - An Example for High-Resolution SAR-Images. - Eckart Michaelsen; Wolfgang Middelmann; Uwe Sörgel (VISIGRAPP (Selected Papers), 2006)

A Perturbation Suppressing Segmentation Technique Based on Adaptive Diffusion. - Wolfgang Middelmann; Alfons Ebert; Tobias Deißler; Ulrich Thoennessen (ICANNGA (2), 2007)

Automatic Target Recognition in SAR Images Based on a SVM Classification Scheme. - Wolfgang Middelmann; Alfons Ebert; Ulrich Thoennessen (ICANNGA (2), 2007)

An Efficient Parallel Algorithm for Graph-Based Image Segmentation. - Jan Wassenberg; Wolfgang Middelmann; Peter Sanders 001 (CAIP, 2009)

Quality preserving fusion of 3D triangle meshes. - Sebastian Wuttke; Dominik Perpeet; Wolfgang Middelmann (FUSION, 2012)

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)

Active Learning with SVM for Land Cover Classification - What Can Go Wrong? - Sebastian Wuttke; Wolfgang Middelmann; Uwe Stilla (AL@iKNOW, 2016)

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)

Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks. - Hendrik Schilling; Dimitri Bulatov; Robin Niessner; Wolfgang Middelmann; Uwe Soergel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Improving the Efficiency of Land Cover Classification by Combining Segmentation, Hierarchical Clustering, and Active Learning. - Sebastian Wuttke; Wolfgang Middelmann; Uwe Stilla (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Domain Adaptation for Semantic Segmentation Using Convolutional Neural Networks. - Fabian Schenkel; Wolfgang Middelmann (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)

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)

Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Cycle-Consistent Adversarial Networks. - 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)

Self-Supervised Image Colorization for Semantic Segmentation of Urban Land Cover. - Jonathan González-Santiago; Fabian Schenkel; Wolfgang Middelmann (IGARSS, 2021)

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)

DustNet: Attention to Dust. - Andreas Michel; Martin Weinmann; Fabian Schenkel; Tomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (DAGM, 2023)

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)

Terrestrial Visual Dust Density Estimation Based On Deep Learning. - Andreas Michel; Martin Weinmann; Fabian Schenkel; Thomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (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)

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)

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)

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)