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2020 – today
- 2024
[c7]Jonathan Prexl, Michael Schmitt:
Sensor Parameter Encoding for Multi-Sensor Self-Supervised Learning via Masked Autoencoders. IGARSS 2024: 2837-2840- [c6]Deepika Mann, Jonathan Prexl, Sudipan Saha, Michael Schmitt:
Mapping High-Resolution Building Development Over Delhi Ncr Using Sentinel-2. IGARSS 2024: 3190-3193 - [i5]Xiao Xiang Zhu, Qingyu Li, Yilei Shi, Yuanyuan Wang, Adam J. Stewart, Jonathan Prexl:
Global OpenBuildingMap - Unveiling the Mystery of Global Buildings. CoRR abs/2404.13911 (2024) - [i4]Jonathan Prexl, Michael Schmitt:
SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining. CoRR abs/2408.11000 (2024) - 2023
- [c5]Jonathan Prexl, Michael Schmitt:
Multi-Modal Multi-Objective Contrastive Learning for Sentinel-1/2 Imagery. CVPR Workshops 2023: 2136-2144 - [c4]Jonathan Prexl, Michael Schmitt:
The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing. IGARSS 2023: 526-529 - [c3]Jonathan Prexl, Sudipan Saha, Michael Schmitt:
High Precision Mapping Of Building Changes Using Sentinel-2. IGARSS 2023: 6744-6747 - [c2]Jonathan Prexl, Michael Schmitt:
The Potential of Sentinel-2 Data for Global Building Footprint Mapping with High Temporal Resolution. JURSE 2023: 1-4 - [i3]Ribana Roscher, Marc Rußwurm, Caroline Gevaert
, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia:
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR abs/2312.05327 (2023) - 2021
- [c1]Jonathan Prexl, Sudipan Saha, Xiao Xiang Zhu:
Mitigating Spatial and Spectral Differences for Change Detection Using Super-Resolution and Unsupervised Learning. IGARSS 2021: 3113-3116 - 2020
- [i2]Michael Schmitt, Jonathan Prexl, Patrick Ebel, Lukas Liebel, Xiao Xiang Zhu:
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. CoRR abs/2002.08254 (2020) - [i1]Martin Lellep, Jonathan Prexl, Moritz Linkmann, Bruno Eckhardt:
Using Machine Learning to predict extreme events in the Hénon map. CoRR abs/2002.10268 (2020)
Coauthor Index
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