Jonathan Prexl

15 papers C 5Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
SARFormer - An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data.
CVPR Workshops
Jonathan Prexl, Michael Recla, Michael Schmitt
2025 J jnl
SARFormer - An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data.
CoRR
Jonathan Prexl, Michael Recla, Michael Schmitt
2024 J jnl
Global OpenBuildingMap - Unveiling the Mystery of Global Buildings.
CoRR
Xiao Xiang Zhu, Qingyu Li, Yilei Shi, Yuanyuan Wang, Adam J. Stewart, Jonathan Prexl
2024 C conf
Mapping High-Resolution Building Development Over Delhi Ncr Using Sentinel-2.
IGARSS
Deepika Mann, Jonathan Prexl, Sudipan Saha, Michael Schmitt
2024 J jnl
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining.
CoRR
Jonathan Prexl, Michael Schmitt
2024 — conf
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-satellite Self-supervised Pretraining.
GCPR (2)
Jonathan Prexl, Michael Schmitt
2024 C conf
Sensor Parameter Encoding for Multi-Sensor Self-Supervised Learning via Masked Autoencoders.
IGARSS
Jonathan Prexl, Michael Schmitt
2023 J jnl
Data-Centric Machine Learning for Geospatial Remote Sensing Data.
CoRR
Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
2023 C conf
High Precision Mapping Of Building Changes Using Sentinel-2.
IGARSS
Jonathan Prexl, Sudipan Saha, Michael Schmitt
2023 — conf
Multi-Modal Multi-Objective Contrastive Learning for Sentinel-1/2 Imagery.
CVPR Workshops
Jonathan Prexl, Michael Schmitt
2023 C conf
The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing.
IGARSS
Jonathan Prexl, Michael Schmitt
2023 — conf
The Potential of Sentinel-2 Data for Global Building Footprint Mapping with High Temporal Resolution.
JURSE
Jonathan Prexl, Michael Schmitt
2021 C conf
Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning.
IGARSS
Jonathan Prexl, Sudipan Saha, Xiao Xiang Zhu
2020 J jnl
Using Machine Learning to predict extreme events in the Hénon map.
CoRR
Martin Lellep, Jonathan Prexl, Moritz Linkmann, Bruno Eckhardt
2020 J jnl
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities.
CoRR
Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu