Konrad Heidler

According to our database, Konrad Heidler authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances.

Konrad Heidler, Ingmar Nitze, Guido Grosse, Xiao Xiang Zhu

CoRR, 2024

2023

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023.

Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber

Dataset, December, 2023

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023.

Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber

Dataset, September, 2023

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023.

Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, Jonathan Bamber

Dataset, September, 2023

Self-supervised audiovisual representation learning for remote sensing data.

Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu

Int. J. Appl. Earth Obs. Geoinformation, February, 2023

A Deep Active Contour Model for Delineating Glacier Calving Fronts.

Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2023

DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks.

Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou

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

Deep Neural Network Based Automatic Grounding Line Delineation In Dinsar Interferograms.

Sindhu Ramanath Tarekere, Lukas Krieger, Konrad Heidler, Dana Floricioiu

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

2022

Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features.

Erik Loebel, Mirko Scheinert, Martin Horwath, Konrad Heidler, Julia Christmann, Long Duc Phan, Angelika Humbert, Xiao Xiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2022

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline.

Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Active Contour Models for Delineating Glacier Calving Fronts.

Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sébastien Lefèvre, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

SoundingEarth Dataset.

Konrad Heidler, Pu Jin, Lichao Mou, Xiao Xiang Zhu

Dataset, October, 2021

Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps.

Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse

Remote. Sens., 2021

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks.

Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu

CoRR, 2021

Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels.

Konrad Heidler, Lichao Mou, Xiao Xiang Zhu

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

Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection.

Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu

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

2019

Remote Sensing For Assessing Drought Insurance Claims in Central Europe.

Konrad Heidler, Arnaud Fietzke

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019