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Jonathan Prexl
Jonathan Prexl
University of the Bundeswehr Munich
Verified email at unibw.de
Title
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Cited by
Year
Weakly supervised semantic segmentation of satellite images for land cover mapping--challenges and opportunities
M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu
arXiv preprint arXiv:2002.08254, 2020
882020
Using machine learning to predict extreme events in the Hénon map
M Lellep, J Prexl, M Linkmann, B Eckhardt
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (1), 2020
362020
Interpreted machine learning in fluid dynamics: explaining relaminarisation events in wall-bounded shear flows
M Lellep, J Prexl, B Eckhardt, M Linkmann
Journal of Fluid Mechanics 942, A2, 2022
242022
Multi-modal multi-objective contrastive learning for sentinel-1/2 imagery
J Prexl, M Schmitt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Data-centric machine learning for geospatial remote sensing data
R Roscher, M Rußwurm, C Gevaert, M Kampffmeyer, JA dos Santos, ...
arXiv preprint arXiv:2312.05327, 2023
15*2023
Weakly supervised semantic segmentation of satellite images for land cover mapping–challenges and opportunities. arXiv 2020
M Schmitt, J Prexl, P Ebel, L Liebel, XX Zhu
arXiv preprint arXiv:2002.08254, 0
13
Mitigating spatial and spectral differences for change detection using super-resolution and unsupervised learning
J Prexl, S Saha, XX Zhu
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3113 …, 2021
102021
The potential of Sentinel-2 data for global building footprint mapping with high temporal resolution
J Prexl, M Schmitt
2023 Joint Urban Remote Sensing Event (JURSE), 1-4, 2023
62023
GlobalBuildingMap--Unveiling the Mystery of Global Buildings
XX Zhu, Q Li, Y Shi, Y Wang, A Stewart, J Prexl
arXiv preprint arXiv:2404.13911, 2024
32024
High precision mapping of building changes using Sentinel-2
J Prexl, S Saha, M Schmitt
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
32023
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
J Prexl, M Schmitt
arXiv preprint arXiv:2408.11000, 2024
12024
Towards understanding the impact of European agriculture on biodiversity with an updated hierarchical crop and agriculture taxonomy (HCAT)
M Schneider, D Gackstetter, J Prexl, ST Meyer, M Körner
12023
Advancing transnational assessments of biodiversity drivers in European agriculture with an updated hierarchical crop and agriculture taxonomy (HCAT)
M Schneider, D Gackstetter, J Prexl, ST Meyer, M Körner
npj Sustainable Agriculture 3 (1), 3, 2025
2025
Self-supervised learning for multi-modal Earth observation data
J Prexl, M Schmitt
Deep Learning for Multi-Sensor Earth Observation, 181-199, 2025
2025
Multiscale assessment of land use efficiency in functional urban areas of Munich and Augsburg
D Mann, J Prexl, M Schmitt, F Sommer
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2024
2024
A Comparison of Uncertainty Estimation Methods for Building Footprint Change Detection from Sentinel-2 Imagery
J Prexl, A Baumann, M Schmitt
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2024
2024
Mapping High-Resolution Building Development Over Delhi Ncr Using Sentinel-2
D Mann, J Prexl, S Saha, M Schmitt
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024
2024
Sensor Parameter Encoding for Multi-Sensor Self-Supervised Learning via Masked Autoencoders
J Prexl, M Schmitt
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024
2024
Global OpenBuildingMap--Unveiling the Mystery of Global Buildings
XX Zhu, Q Li, Y Shi, Y Wang, A Stewart, J Prexl
arXiv e-prints, arXiv: 2404.13911, 2024
2024
The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing
J Prexl, M Schmitt
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
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