Jonathan Prexl

According to our database, Jonathan Prexl authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining.

Jonathan Prexl, Michael Schmitt

CoRR, 2024

Global OpenBuildingMap - Unveiling the Mystery of Global Buildings.

Xiao Xiang Zhu, Qingyu Li, Yilei Shi, Yuanyuan Wang, Adam J. Stewart, Jonathan Prexl

CoRR, 2024

Sensor Parameter Encoding for Multi-Sensor Self-Supervised Learning via Masked Autoencoders.

Jonathan Prexl, Michael Schmitt

Proceedings of the IGARSS 2024, 2024

Mapping High-Resolution Building Development Over Delhi Ncr Using Sentinel-2.

Deepika Mann, Jonathan Prexl, Sudipan Saha, Michael Schmitt

Proceedings of the IGARSS 2024, 2024

2023

Data-Centric Machine Learning for Geospatial Remote Sensing Data.

Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia

CoRR, 2023

The Potential of Sentinel-2 Data for Global Building Footprint Mapping with High Temporal Resolution.

Jonathan Prexl, Michael Schmitt

Proceedings of the Joint Urban Remote Sensing Event, 2023

High Precision Mapping Of Building Changes Using Sentinel-2.

Jonathan Prexl, Sudipan Saha, Michael Schmitt

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing.

Jonathan Prexl, Michael Schmitt

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Modal Multi-Objective Contrastive Learning for Sentinel-1/2 Imagery.

Jonathan Prexl, Michael Schmitt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning.

Jonathan Prexl, Sudipan Saha, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Using Machine Learning to predict extreme events in the Hénon map.

Martin Lellep, Jonathan Prexl, Moritz Linkmann, Bruno Eckhardt

CoRR, 2020

Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities.

Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu

CoRR, 2020