Wolfgang Middelmann

Orcid: 0000-0002-3507-7396

According to our database1, Wolfgang Middelmann authored at least 36 papers between 2003 and 2023.

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Bibliography

2023
Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens., 2023

Deep Self-Supervised Image Denoising for Joint Hyperspectral-Lidar Classification.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Hyperthun'22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Terrestrial Visual Dust Density Estimation Based On Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep Self-Supervised Hyperspectral-Lidar Fusion for Land Cover Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DustNet: Attention to Dust.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Transferability of Convolutional Autoencoder Model For Lossy Compression to Unknown Hyperspectral Prisma Data.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Deep Self-Supervised Pixel-Level Learning For Hyperspectral Classification.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Class-aware Object Counting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021
Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors.
Autom., 2021

Self-Supervised Image Colorization for Semantic Segmentation of Urban Land Cover.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A Multi-Scale and Multi-Temporal Hyperspectral Target Detection Experiment - From Design to First Results.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Domain Adaptation for Semantic Segmentation of Aerial Imagery Using Cycle-Consistent Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Hyperspectral Band Selection within a Deep Reinforcement Learning Framework.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Feature Concatenation of Hyperspectral and DEM Data for Land Cover Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Nonlinear Feature Normalization for Hyperspectral Domain Adaptation and Mitigation of Nonlinear Effects.
IEEE Trans. Geosci. Remote. Sens., 2019

Domain Adaptation for Semantic Segmentation Using Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Improving the Efficiency of Land Cover Classification by Combining Segmentation, Hierarchical Clustering, and Active Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Improving Linear Classification Using Semi-Supervised Invertible Manifold Alignment.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Towards Fast 3D Reconstruction of Urban Areas from Aerial Nadir Images for a Near Real-Time Remote Sensing System.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Color-guided enhancement of airborne laser scanning data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Active Learning with SVM for Land Cover Classification - What Can Go Wrong?
Proceedings of the Workshop on Active Learning: Applications, 2016

2015
Transformation of hyperspectral data to improve classification by mitigating nonlinear effects.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Automatic modeling of nonlinear signal source variations in hyperspectral data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2012
An approach to fully unsupervised hyperspectral unmixing.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Quality preserving fusion of 3D triangle meshes.
Proceedings of the 15th International Conference on Information Fusion, 2012

2009
An Efficient Parallel Algorithm for Graph-Based Image Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2007
Automatic Target Recognition in SAR Images Based on a SVM Classification Scheme.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

A Perturbation Suppressing Segmentation Technique Based on Adaptive Diffusion.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control - An Example for High-Resolution SAR-Images.
Proceedings of the Advances in Computer Graphics and Computer Vision, 2006

2003
Classification with Controlled Robustness in High-Resolution SAR Data.
Proceedings of the Pattern Recognition, 2003


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