Konrad Heidler

25 papers C 6Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning.
CoRR
Nora Gourmelon, Konrad Heidler, Erik Loebel, Daniel Cheng, Julian Klink, Anda Dong, Fei Wu, Noah Maul, Moritz Koch, Marcel Dreier, Dakota Pyles, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein
2025 J jnl
Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Daixin Zhao, Milad Asgarimehr, Konrad Heidler, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
2025 J jnl
Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor.
Int. J. Appl. Earth Obs. Geoinformation
Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Conrad M. Albrecht, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
2025 J jnl
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
CoRR
Samuel Garske, Konrad Heidler, Bradley J. Evans, K. C. Wong, Xiao Xiang Zhu
2025 J jnl
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Samuel Garske, Konrad Heidler, Bradley J. Evans, K. C. Wong, Xiao Xiang Zhu
2024 J jnl
Machine Learning for Methane Detection and Quantification from Space - A survey.
CoRR
Enno Tiemann, Shanyu Zhou, Alexander Kläser, Konrad Heidler, Rochelle Schneider, Xiao Xiang Zhu
2024 J jnl
Multi-Sensor Deep Learning for Glacier Mapping.
CoRR
Codrut-Andrei Diaconu, Konrad Heidler, Jonathan L. Bamber, Harry Zekollari
2024 J jnl
On the Foundations of Earth and Climate Foundation Models.
CoRR
Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi
2024 J jnl
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic.
IEEE Trans. Geosci. Remote. Sens.
Konrad Heidler, Ingmar Nitze, Guido Grosse, Xiao Xiang Zhu
2024 J jnl
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances.
CoRR
Konrad Heidler, Ingmar Nitze, Guido Grosse, Xiao Xiang Zhu
2023 J jnl
A Deep Active Contour Model for Delineating Glacier Calving Fronts.
CoRR
Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu
2023 J jnl
A Deep Active Contour Model for Delineating Glacier Calving Fronts.
IEEE Trans. Geosci. Remote. Sens.
Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu
2023 C conf
DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks.
IGARSS
Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
2023 C conf
Deep Neural Network Based Automatic Grounding Line Delineation In Dinsar Interferograms.
IGARSS
Sindhu Ramanath Tarekere, Lukas Krieger, Konrad Heidler, Dana Floricioiu
2023 J jnl
Self-supervised audiovisual representation learning for remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation
Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
2022 C conf
Deep Active Contour Models for Delineating Glacier Calving Fronts.
IGARSS
Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu
2022 J jnl
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features.
IEEE Trans. Geosci. Remote. Sens.
Erik Loebel, Mirko Scheinert, Martin Horwath, Konrad Heidler, Julia Christmann, Long Duc Phan, Angelika Humbert, Xiao Xiang Zhu
2022 J jnl
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline.
IEEE Trans. Geosci. Remote. Sens.
Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu
2021 J jnl
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks.
CoRR
Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu
2021 J jnl
Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps.
Remote. Sens.
Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse
2021 J jnl
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline.
CoRR
Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu
2021 C conf
Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection.
IGARSS
Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu
2021 C conf
Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels.
IGARSS
Konrad Heidler, Lichao Mou, Xiao Xiang Zhu
2021 J jnl
Self-supervised Audiovisual Representation Learning for Remote Sensing Data.
CoRR
Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
2019 C conf
Remote Sensing For Assessing Drought Insurance Claims in Central Europe.
IGARSS
Konrad Heidler, Arnaud Fietzke