Lukas Kondmann

PhD student, Technical University Munich

Joined

August 2021

Names

Lukas Kondmann (Preferred)

Emails

****@dlr.de (Confirmed)

****@googlemail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Technical University Munich (tum.de)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Xiaoxiang Zhu

2019 – Present

Expertise

Earth Observation

Change Detection

Self-Supervised Learning

Deep Learning

Present

Remote Sensing

Humanitarian Mapping

Climate Change

Present

Remote Sensing

Agriculture

Deep Learning

Present

Publications

Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation
Niklas Wölki, Lukas Kondmann, Christian Mollière, Martin Langer, Julia Gottfriedsen, Martin Werner
- TerraBytes 2025 withoutproceedings
- Readers: Everyone
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images
Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu
- 2022 (modified: 22 Nov 2022)
- IEEE Trans. Geosci. Remote. Sens. 2022
- Readers: Everyone
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé
- 2022 (modified: 22 Nov 2022)
- CVPR 2022
- Readers: Everyone
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé
- 2022 (modified: 22 Nov 2022)
- CVPR 2022
- Readers: Everyone
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé
- 2022 (modified: 22 Nov 2022)
- CoRR 2022
- Readers: Everyone
Siamese Attention U-Net for Multi-Class Change Detection
Sol Cummings, Lukas Kondmann, Xiao Xiang Zhu
- 2022 (modified: 22 Nov 2022)
- IGARSS 2022
- Readers: Everyone
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images
Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu
- 2022 (modified: 22 Nov 2022)
- IEEE Trans. Geosci. Remote. Sens. 2022
- Readers: Everyone
Comparative Analysis of Nitrogen Dioxide (NO2) Levels in Munich Using Sentinel-5P Atmospheric Products and Ground-Based Measurements
Ariadna Pregel Hoderlein, Lukas Kondmann, Xiao Xiang Zhu
- 2022 (modified: 22 Nov 2022)
- IGARSS 2022
- Readers: Everyone
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space
Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiao Xiang Zhu
- Published: 11 Oct 2021, Last Modified: 23 May 2023
- NeurIPS 2021 Datasets and Benchmarks Track (Round 2)
- Readers: Everyone
Change Detection in Hyperdimensional Images Using Untrained Models
Sudipan Saha, Lukas Kondmann, Qian Song, Xiao Xiang Zhu
- 2021 (modified: 22 Nov 2022)
- IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2021
- Readers: Everyone

View all 14 publications

Co-Authors

View all 28 co-authors