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

, , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)

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A Deep Active Contour Model for Delineating Glacier Calving Fronts., , , , , and . CoRR, (2023)SoundingEarth Dataset., , , and . (October 2021)Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances., , , and . CoRR, (2024)Self-supervised audiovisual representation learning for remote sensing data., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (February 2023)Deep Active Contour Models for Delineating Glacier Calving Fronts., , , , , and . IGARSS, page 4490-4493. IEEE, (2022)HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks., , , , , , , and . IGARSS, page 1182-1185. IEEE, (2023)Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels., , and . IGARSS, page 3033-3036. IEEE, (2021)Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps., , , and . Remote. Sens., 13 (21): 4294 (2021)