Konrad Heidler

Orcid: 0000-0001-8226-0727

According to our database¹, Konrad Heidler authored at least 21 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Sensor Deep Learning for Glacier Mapping.

[BibT_eX]

[DOI]

Codrut-Andrei Diaconu

Konrad Heidler

Jonathan L. Bamber

Harry Zekollari

CoRR, 2024

Machine Learning for Methane Detection and Quantification from Space - A survey.

[BibT_eX]

[DOI]

CoRR, 2024

On the Foundations of Earth and Climate Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Dataset, December, 2023

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

[BibT_eX]

[DOI]

Dataset, September, 2023

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

[BibT_eX]

[DOI]

Dataset, September, 2023

Self-supervised audiovisual representation learning for remote sensing data.

[BibT_eX]

[DOI]

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

A Deep Active Contour Model for Delineating Glacier Calving Fronts.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Active Contour Models for Delineating Glacier Calving Fronts.

[BibT_eX]

[DOI]

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

2021

SoundingEarth Dataset.

[BibT_eX]

[DOI]

Dataset, October, 2021

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

[BibT_eX]

[DOI]

Remote. Sens., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

Remote Sensing For Assessing Drought Insurance Claims in Central Europe.

[BibT_eX]

[DOI]

Konrad Heidler

Arnaud Fietzke

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

Konrad Heidler

Timeline

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Bibliography

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