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Wolfgang Middelmann
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2020 – today
- 2024
- [c33]Jannick Kuester, Wolfgang Gross, Andreas Michel, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression. IGARSS 2024: 2564-2567 - [c32]Wolfgang Gross, Simon Schreiner, Jannick Kuester, Andreas Michel, Wolfgang Middelmann, Marius Vögtli, Luc Sierro, Mathias Kneubühler:
Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data. IGARSS 2024: 7995-7999 - 2023
- [j5]Jannick Kuester
, Wolfgang Gross
Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023) - [c31]Andreas Michel
DustNet: Attention to Dust. DAGM 2023: 211-226 - [c30]Wolfgang Gross, Florian Queck, Simon Schreiner, Jonas Mispelhorn, Jannick Kuester, Wolfgang Middelmann, Marius Vögtli
Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation. IGARSS 2023: 2149-2152 - [c29]Marius Vögtli
Hyperthun'22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign. IGARSS 2023: 2153-2156 - [c28]Andreas Michel, Martin Weinmann, Fabian Schenkel, Thomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz:
Terrestrial Visual Dust Density Estimation Based On Deep Learning. IGARSS 2023: 4923-4926 - [c27]Jannick Kuester, Wolfgang Groß, Simon Schreiner, Wolfgang Middelmann, Michael Heizmann:
Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression. IGARSS 2023: 5383-5386 - [c26]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification. IGARSS 2023: 5910-5913 - [c25]Jonathan González-Santiago, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification. WHISPERS 2023: 1-5 - 2022
- [c24]Andreas Michel, Wolfgang Gross, Fabian Schenkel, Wolfgang Middelmann:
Class-aware Object Counting. WACV (Workshops) 2022: 469-478 - [c23]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Gross, Wolfgang Middelmann:
Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification. WHISPERS 2022: 1-5 - [c22]Jannick Kuester, Wolfgang Gross, Simon Schreiner, Michael Heizmann, Wolfgang Middelmann:
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data. WHISPERS 2022: 1-5 - 2021
- [j4]Simon Schreiner, Dubravko Culibrk, Michele Bandecchi
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors. Autom. 69(4): 325-335 (2021) - [c21]Jonathan González-Santiago, Fabian Schenkel, Wolfgang Middelmann:
Self-Supervised Image Colorization for Semantic Segmentation of Urban Land Cover. IGARSS 2021: 3468-3471 - 2020
- [c20]Andreas Michel, Wolfgang Groß, Fabian Schenkel, Wolfgang Middelmann:
Hyperspectral Band Selection within a Deep Reinforcement Learning Framework. IGARSS 2020: 52-55 - [c19]Marius Vögtli
A Multi-Scale and Multi-Temporal Hyperspectral Target Detection Experiment - From Design to First Results. IGARSS 2020: 660-663 - [c18]Wolfgang Gross, Dimitri Bulatov, Simon Schreiner, Wolfgang Middelmann:
Feature Concatenation of Hyperspectral and DEM Data for Land Cover Classification. IGARSS 2020: 1303-1306 - [c17]Fabian Schenkel, Wolfgang Middelmann:
Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Cycle-Consistent Adversarial Networks. IGARSS 2020: 1448-1451
2010 – 2019
- 2019
- [j3]Wolfgang Groß
Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects. IEEE Trans. Geosci. Remote. Sens. 57(8): 5975-5990 (2019) - [c16]Fabian Schenkel, Wolfgang Middelmann:
Domain Adaptation for Semantic Segmentation Using Convolutional Neural Networks. IGARSS 2019: 728-731 - 2018
- [j2]Sebastian Wuttke
Improving the Efficiency of Land Cover Classification by Combining Segmentation, Hierarchical Clustering, and Active Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4016-4031 (2018) - [j1]Hendrik Schilling
Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4299-4316 (2018) - [c15]Wolfgang Groß, Nayeli Espinosa, Merlin Becker, Simon Schreiner, Wolfgang Middelmann:
Improving Linear Classification Using Semi-Supervised Invertible Manifold Alignment. IGARSS 2018: 3551-3554 - [c14]Nayeli Espinosa, Andreas Lenz, Wolfgang Groß, Wolfgang Middelmann:
Towards Fast 3D Reconstruction of Urban Areas from Aerial Nadir Images for a Near Real-Time Remote Sensing System. IGARSS 2018: 6472-6475 - 2017
- [c13]Goksu Keskin, Wolfgang Groß, Wolfgang Middelmann:
Color-guided enhancement of airborne laser scanning data. IGARSS 2017: 2617-2620 - 2016
- [c12]Sebastian Wuttke, Wolfgang Middelmann, Uwe Stilla:
Active Learning with SVM for Land Cover Classification - What Can Go Wrong? AL@iKNOW 2016: 9-16 - 2015
- [c11]Andreas Lenz, Hendrik Schilling, Wolfgang Groß, Wolfgang Middelmann:
Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data. IGARSS 2015: 2680-2683 - [c10]Wolfgang Groß, Sebastian Wuttke, Wolfgang Middelmann:
Transformation of hyperspectral data to improve classification by mitigating nonlinear effects. WHISPERS 2015: 1-4 - 2014
- [c9]Wolfgang Groß, Goksu Keskin, Hendrik Schilling, Andreas Lenz, Wolfgang Middelmann:
Automatic modeling of nonlinear signal source variations in hyperspectral data. IGARSS 2014: 2965-2968 - [c8]Andreas Lenz, Hendrik Schilling, Dominik Perpeet, Sebastian Wuttke
Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors. IGARSS 2014: 2981-2984 - 2012
- [c7]Sebastian Wuttke, Dominik Perpeet, Wolfgang Middelmann:
Quality preserving fusion of 3D triangle meshes. FUSION 2012: 1476-1481 - [c6]Wolfgang Groß, Hendrik Schilling, Wolfgang Middelmann:
An approach to fully unsupervised hyperspectral unmixing. IGARSS 2012: 4714-4717
2000 – 2009
- 2009
- [c5]Jan Wassenberg, Wolfgang Middelmann, Peter Sanders:
An Efficient Parallel Algorithm for Graph-Based Image Segmentation. CAIP 2009: 1003-1010 - 2007
- [c4]Wolfgang Middelmann, Alfons Ebert, Ulrich Thoennessen:
Automatic Target Recognition in SAR Images Based on a SVM Classification Scheme. ICANNGA (2) 2007: 492-499 - [c3]Wolfgang Middelmann, Alfons Ebert, Tobias Deißler, Ulrich Thoennessen:
A Perturbation Suppressing Segmentation Technique Based on Adaptive Diffusion. ICANNGA (2) 2007: 616-623 - 2006
- [c2]Eckart Michaelsen, Wolfgang Middelmann, Uwe Sörgel:
Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control - An Example for High-Resolution SAR-Images. VISIGRAPP (Selected Papers) 2006: 293-304 - 2003
- [c1]Wolfgang Middelmann:
Classification with Controlled Robustness in High-Resolution SAR Data. DAGM-Symposium 2003: 92-99
Coauthor Index
aka: Wolfgang Gross
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