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Exploiting SAR Tomography for Supervised Land-Cover Classification
O. D’Hondt, R. Hänsch, N. Wagener, O. Hellwich, Remote Sensing, 2018, 10(11), 1742..
@article{dhondt2018tomoclass,
title={Exploiting SAR Tomography for Supervised Land-Cover Classification},
author={D'Hondt, Olivier and H{\"a}nsch, Ronny and Wagener, Nicolas and Hellwich, Olaf},
journal={Remote Sensing},
volume={10},
number={11},
pages={1--18},
year={2018},
month={07},
publisher={IEEE},
organization={},
doi={10.3390/rs10111742},
issn={2072-4292},
}
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Report on the 2018 IEEE GRSS Data Fusion Contest - Advanced Multisource Optical Remote Sensing for Urban Land Use and Land Cover Classification
B. Le Saux, N. Yokoya, R. Hänsch, S. Prasad, IEEE Geoscience and Remote Sensing Magazine.
@article{LeSaux2018,
title={Advanced Multisource Optical Remote Sensing for Urban Land Use and Land Cover Classification},
author={Le Saux,Bertrand and Yokoya, Naoto and H{\"a}nsch, Ronny and Prasad, Saurabh},
journal={IEEE Geoscience and Remote Sensing Magazine},
year={2018},
volume={6},
issue={4},
pages={85-89}
}
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Machine learning methods for remote sensing applications: an overview
K. Schulz, R. Hänsch, U. Sörgel, SPIE Remote Sensing 2018 Berlin, Germany, September 2018.
@inproceedings{schulz2018mloverview,
title = {Machine learning methods for remote sensing applications: an overview},
author={Schulz, Karsten and H{\"a}nsch, Ronny and S{\"o}rgel, Uwe},
booktitle={Proc. SPIE 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX},
volume={10790},
pages={},
year={2018},
month={},
publisher={},
organization={SPIE},
doi = {10.1117/12.2503653},
issn={},
}
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A comparative evaluation of polarimetric distance measures within the Random Forest framework for the classification of PolSAR images
R. Hänsch, O. Hellwich, IGARSS 2018 Valencia, Spain, July 2018.
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Feature Design for Classification from TomoSAR data
O. D’Hondt, R. Hänsch, O. Hellwich, IGARSS 2018 Valencia, Spain, July 2018.
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Classification of Icon Type and Cooldown State in Video Game Replays
J. Eichelbaum, R. Hänsch, O. Hellwich, ICIAR 2018 Póvoa de Varzim, Portugal, June 2018.
@inproceedings{eichelbaum2018esports,
author={Eichelbaum, Jeremias and H{\"a}nsch, Ronny and Hellwich, Olaf},
title={Classification of Icon Type and Cooldown State in Video Game Replays},
booktitle={ICIAR 2018; International Conference Image Analysis and Recognition},
volume={},
year={2018},
month={06}
pages={227--234},
publisher={Springer},
organization={},
doi={10.1007/978-3-319-93000-8_26},
isbn={978-3-319-93000-8},
}
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Supervised classification from TomoSAR data
O. D’Hondt, R. Hänsch, O. Hellwich, EUSAR 2018 Aachen, Germany, June 2018.
@inproceedings{dhondt2018tomosar,
title={Supervised classification from TomoSAR data},
author={D'Hondt, Olivier and H{\"a}nsch, Ronny and Hellwich, Olaf},
booktitle={EUSAR 2018; 12th European Conference on Synthetic Aperture Radar},
pages={1181 --1184},
year={2018},
month={06},
publisher={VDE},
organization={},
doi={},
isbn={978-3-8007-4636-1},
}
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Exploiting GAN-Based SAR to Optical Image Transcoding for Improved Classification via Deep Learning
A. Ley, O. D’Hondt, S. Valade, R. Hänsch, O. Hellwich, EUSAR 2018 Aachen, Germany, June 2018.
@inproceedings{ley2018gansar,
author={Ley, Andreas and Dhondt, Olivier and Valade, Sebastien and H{\"a}nsch, Ronny and Hellwich, Olaf},
title={Exploiting GAN-Based SAR to Optical Image Transcoding for Improved Classification via Deep Learning},
booktitle={EUSAR 2018; 12th European Conference on Synthetic Aperture Radar},
year={2018},
month={06},
pages={396--401},
publisher={VDE},
organization={},
doi={},
isbn={978-3-8007-4636-1},
}
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Faster Trees: Strategies for accelerated training and prediction of Random Forests for classification of PolSAR images
R. Hänsch, O. Hellwich, ISPRS TCIII Midterm 2018 Beijing, China, May 2018.
@article{haensch2018fastertrees,
author={H\"ansch, R. and Hellwich, O.},
title={Faster Trees: Strategies for Accelerated Training and Prediction of Random Forests for Classification of Polsar Images},
journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
year = {2018},
month = {04},
pages = {105-112},
volume = {4-3},
doi={10.5194/isprs-annals-IV-3-105-2018},
issn={2194-9042},
publisher={Copernicus Publications},
}
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2018 IEEE GRSS Data Fusion Contest: Multi-modal land use classification
B. Le Saux, N. Yokoya, R. Hänsch, S. Prasad, IEEE Geoscience and Remote Sensing Magazine.
@article{saux2018dfcannounce,
author={B. Le Saux and N. Yokoya and R. H{\"a}nsch and S. Prasad},
journal={IEEE Geoscience and Remote Sensing Magazine},
title={2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees]},
year={2018},
volume={6},
number={1},
pages={52--54},
publisher={IEEE},
doi={10.1109/MGRS.2018.2798161},
issn={2168-6831},
month={03},
}
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Classification of PolSAR Images by Stacked Random Forests
R. Hänsch, O. Hellwich, ISPRS International Journal of Geo-Information.
@article{haensch2018stackedrf,
author={H{\"a}nsch, Ronny and Hellwich, Olaf},
title={Classification of PolSAR Images by Stacked Random Forests},
journal={ISPRS International Journal of Geo-Information},
volume={7},
number={2},
year={2018},
month={02}
pages={74--90},
publisher={MDPI},
doi={10.3390/ijgi7020074},
issn={2220-9964},
}
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Towards Image Colorization with Random Forests
H. Mohn, M. Gaebelein, R. Hänsch, O. Hellwich, VISAPP 2018 Funchal, Portugal, January 2018.
@inproceedings{mohn2018towards,
author={Mohn, Helge and Gaebelein, Mark and H{\"a}nsch, Ronny and Hellwich, Olaf},
title={Towards Image Colorization with Random Forests.},
booktitle={VISAPP; 13th International Conference on Computer Vision Theory and Applications},
volume={4},
year={2018},
month={01},
pages={270--278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006570002700278},
isbn={978-989-758-290-5},
}
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Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests
M. Wöllhaf, R. Hänsch, O. Hellwich, VISAPP 2018 Funchal, Portugal, January 2018.
@inproceedings{mohn2018towards,
author={W{\"o}llhaf, Manuel and H{\"a}nsch, Ronny and Hellwich, Olaf},
title={Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests.},
booktitle={VISAPP; 13th International Conference on Computer Vision Theory and Applications},
volume={5},
year={2018},
month={01},
pages={193--200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006546801930200},
isbn={978-989-758-290-5},
}
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