SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery | Paper Citation Record

Observation 6d391f0d-0e92-41ad-b6c2-980f580071b3 · outbound

This paper cites Annual mass changes for each glacier in the world from 1976 to 2023,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Annual mass changes for each glacier in the world from 1976 to 2023,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:03.440314Z

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Observation b104eaa3-c3b0-46e7-a36e-4587481afa41 · outbound

This paper cites Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 6,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 6,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:03.244864Z

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Observation ff2b29c1-06bb-4e55-ae33-c0f8312b221f · outbound

This paper cites Greenland ice sheet mass balance: a review,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Greenland ice sheet mass balance: a review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:03.113597Z

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Observation e2f7254c-3fae-494f-823a-66c6d1f05327 · outbound

This paper cites Mass balance of the antarctic ice sheet from 1992 to 2017,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Mass balance of the antarctic ice sheet from 1992 to 2017,

Reference 4

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Observation cac10987-ae4d-4565-8cf9-3a37cd8fa59c · outbound

This paper cites Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.941034Z

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Observation 4999c07b-5184-4f95-9b06-ce272664a3f2 · outbound

This paper cites A deep active contour model for delineating glacier calving fronts,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery A deep active contour model for delineating glacier calving fronts,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.800526Z

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Observation ababaac3-ee49-4452-aa10-4c7b5111b807 · outbound

This paper cites Extracting glacier calving fronts by deep learning: the benefit of multi-spectral, topographic and textural input features,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Extracting glacier calving fronts by deep learning: the benefit of multi-spectral, topographic and textural input features,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.609173Z

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Observation 74095eff-a551-456d-af5b-c0fd377c8b62 · outbound

This paper cites Remote sensing of antarctic glacier and ice-shelf front dynamics – a review,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Remote sensing of antarctic glacier and ice-shelf front dynamics – a review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.495729Z

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Observation ab619c13-2931-4217-b562-a097853e04d5 · outbound

This paper cites Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture 11 radar imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture 11 radar imagery,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.368616Z

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Observation a3635432-847d-4959-a9a4-eb669a6c9355 · outbound

This paper cites Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:49:54.535005Z

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Observation af925b86-432a-482b-bcc4-718eae1920b7 · outbound

This paper cites Contextual hookformer for glacier calving front segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Contextual hookformer for glacier calving front segmentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:49.475087Z

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Observation 6ed341bf-e023-4231-b28c-176770d9a9bd · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.151422Z

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Observation c4368e01-5b21-4786-8a5c-98b2271d6ecd · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Imagenet: A large-scale hierarchical image database,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:49.669676Z

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Observation 1894bbec-024f-4221-9d26-3bd9d3e3de25 · outbound

This paper cites Segment anything, from space?.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Segment anything, from space?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:02.016969Z

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Observation d9f0395b-e7dc-4b7c-a6b8-3198f91ba39d · outbound

This paper cites In-domain self-supervised learning improves re- mote sensing image scene classification,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery In-domain self-supervised learning improves re- mote sensing image scene classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.848297Z

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Observation 95d48ed4-ded5-46fb-8cad-c055c1290339 · outbound

This paper cites Self- supervised vision transformers for joint sar-optical rep- resentation learning,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self- supervised vision transformers for joint sar-optical rep- resentation learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.685020Z

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Observation a50aa552-9968-4bae-a045-bc77cafbfd48 · outbound

This paper cites Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.582333Z

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Observation b61d821b-cb5e-4d2a-aaf8-1c5e1f077682 · outbound

This paper cites Self-supervised classification of sar images with optical image assis- tance,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised classification of sar images with optical image assis- tance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.405159Z

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Observation bbc78637-afd9-4acd-85fc-3df82abb1847 · outbound

This paper cites Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptive thresholding methods,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptive thresholding methods,

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T20:49:54.390612Z

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Observation ca8209ac-2ab1-41fc-a3fd-21531e57bc02 · outbound

This paper cites Automatic calving front delienation on terrasar-x and sentinel-1 sar imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Automatic calving front delienation on terrasar-x and sentinel-1 sar imagery,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.280649Z

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Observation 96eb0f6f-f900-481a-a99e-faa96de90b95 · outbound

This paper cites Mapping ice sheet margins from ers-1 sar and spot imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Mapping ice sheet margins from ers-1 sar and spot imagery,

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T20:49:54.185107Z

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Observation 76812073-1ea2-44ba-a179-029d13f8e0b8 · outbound

This paper cites Ocean forcing of the greenland ice sheet: Calving fronts and patterns of retreat identified by au- tomatic satellite monitoring of eastern outlet glaciers,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Ocean forcing of the greenland ice sheet: Calving fronts and patterns of retreat identified by au- tomatic satellite monitoring of eastern outlet glaciers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:01.139276Z

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Observation af906a7b-17a0-40f8-b0e2-2ad863d3e351 · outbound

This paper cites Automated detection of marine glacier calving fronts using the 2-d wavelet transform modulus maxima seg- mentation method,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Automated detection of marine glacier calving fronts using the 2-d wavelet transform modulus maxima seg- mentation method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:00.900272Z

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Observation 9b5c45b2-eff3-45fe-a4dd-570a6a312647 · outbound

This paper cites Automated extraction of antarctic glacier and ice shelf fronts from sentinel-1 imagery using deep learning,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Automated extraction of antarctic glacier and ice shelf fronts from sentinel-1 imagery using deep learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:50.732580Z

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Observation df2a7468-a29e-43fc-939c-5ed76c6a3a49 · outbound

This paper cites Calving front machine (calfin): glacial termini dataset and automated deep learning extraction method for greenland, 1972–2019,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Calving front machine (calfin): glacial termini dataset and automated deep learning extraction method for greenland, 1972–2019,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:00.686137Z

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Observation 4702f719-a608-4af2-993c-ee7036471047 · outbound

This paper cites Pixel-wise distance regression for glacier calving front detection and segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Pixel-wise distance regression for glacier calving front detection and segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:00.443777Z

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Observation 5bf65c55-91fb-433b-8a02-d6808932d67f · outbound

This paper cites On mathews correlation coefficient and improved distance map loss for automatic glacier calving front segmentation in sar imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery On mathews correlation coefficient and improved distance map loss for automatic glacier calving front segmentation in sar imagery,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:00.277601Z

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Observation 6f9c6fee-ced2-410f-af46-fdb97867754c · outbound

This paper cites Conditional random fields for im- proving deep learning-based glacier calving front delin- eations,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Conditional random fields for im- proving deep learning-based glacier calving front delin- eations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:00.088359Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cebf2e64-4d9a-478a-b91b-a584b0ed4713 · outbound

This paper cites Bayesian u-net for segmenting glaciers in sar imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Bayesian u-net for segmenting glaciers in sar imagery,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:59.947317Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d9d1524-f65e-4790-a1dc-3407033c70a6 · outbound

This paper cites Hed-unet: Combined segmentation and edge de- tection for monitoring the antarctic coastline,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Hed-unet: Combined segmentation and edge de- tection for monitoring the antarctic coastline,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:59.727203Z

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Observation 7e653f3e-bce8-41da-ab0b-ffe7cfed0999 · outbound

This paper cites Out-of-the-box 12 calving-front detection method using deep learning,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Out-of-the-box 12 calving-front detection method using deep learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:59.464825Z

Source-reported events for the cited work

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Observation 9d291d14-106b-4313-82b2-078bca8a2341 · outbound

This paper cites Glacier calving front seg- mentation using attention u-net,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Glacier calving front seg- mentation using attention u-net,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:59.285232Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d126ba2-14eb-43b4-b025-3101e763cec8 · outbound

This paper cites Image classification of marine- terminating outlet glaciers in greenland using deep learning methods,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Image classification of marine- terminating outlet glaciers in greenland using deep learning methods,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:58.998259Z

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Observation 695aa48e-aa91-4518-bd01-1676b9f3eabf · outbound

This paper cites Detection of glacier calving margins with convolutional neural networks: A case study,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Detection of glacier calving margins with convolutional neural networks: A case study,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:51.608528Z

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Observation 35b612e9-75c7-4b34-b779-11134c007851 · outbound

This paper cites How to get the most out of u-net for glacier calving front segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery How to get the most out of u-net for glacier calving front segmentation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:51.686750Z

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Unavailable: canonical work link unavailable.

Observation 552ff39b-9d9c-4a1e-8134-2427d5ac3c4f · outbound

This paper cites Amd-hooknet for glacier front segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Amd-hooknet for glacier front segmentation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:51.787444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d843401-ba8d-4029-9ee3-4b0b611047e3 · outbound

This paper cites Automatically delin- eating the calving front of jakobshavn isbræ from mul- titemporal terrasar-x images: a deep learning approach,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Automatically delin- eating the calving front of jakobshavn isbræ from mul- titemporal terrasar-x images: a deep learning approach,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:58.714125Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad7a01e6-f6c8-4e79-99ff-5d30bebb7c6a · outbound

This paper cites An au- tomated, generalized, deep-learning-based method for delineating the calving fronts of greenland glaciers from multi-sensor remote sensing imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery An au- tomated, generalized, deep-learning-based method for delineating the calving fronts of greenland glaciers from multi-sensor remote sensing imagery,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:58.502831Z

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Observation 0df5e56d-6039-4478-9bf9-f77bf0ab0b96 · outbound

This paper cites Autoterm: an automated pipeline for glacier terminus extraction using machine learning and a “big data.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Autoterm: an automated pipeline for glacier terminus extraction using machine learning and a “big data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:58.269642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e23c7d50-d471-406b-8cab-aba17faedf94 · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery U-net: Convo- lutional networks for biomedical image segmentation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:58.022527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34fee452-2706-4c02-be88-3fc847d5aefc · outbound

This paper cites Encoder-decoder with atrous separable con- volution for semantic image segmentation,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Encoder-decoder with atrous separable con- volution for semantic image segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:57.843943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 018deb07-38df-4a6a-80da-0298943f1139 · outbound

This paper cites Gla-stdeeplab: Sar enhancing glacier and ice shelf front detection using swin-transdeeplab with global–local attention,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Gla-stdeeplab: Sar enhancing glacier and ice shelf front detection using swin-transdeeplab with global–local attention,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:57.663540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e859ffa8-a801-4ed1-9ff3-9f7fd1596c17 · outbound

This paper cites Self-supervised learning in remote sensing: A review,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised learning in remote sensing: A review,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:57.384658Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4500751-ec02-4f40-b38e-77444209618d · outbound

This paper cites Self-supervised encoders are better transfer learners in remote sensing applications,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised encoders are better transfer learners in remote sensing applications,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:57.183549Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a4603c9-985a-461c-928f-59e18a699477 · outbound

This paper cites Cmid: A unified self-supervised learning framework for remote sensing image understanding,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Cmid: A unified self-supervised learning framework for remote sensing image understanding,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.945368Z

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Observation 50b73c3c-40a5-4bf4-a883-f69321ed03d0 · outbound

This paper cites Very high resolution canopy height maps from rgb imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Very high resolution canopy height maps from rgb imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.622983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c02fca8b-1684-45db-a983-1f25462b3c27 · outbound

This paper cites Ex- tending global-local view alignment for self-supervised learning with remote sensing imagery,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Ex- tending global-local view alignment for self-supervised learning with remote sensing imagery,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.544180Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 824c4382-b1b8-4ff7-bd80-5134bb50eea4 · outbound

This paper cites Self-supervised sar-optical data fusion of sentinel-1/-2 images,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised sar-optical data fusion of sentinel-1/-2 images,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.465165Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e354d6fd-569e-43a1-a45f-260569ef2c24 · outbound

This paper cites Self-supervised mate- rial and texture representation learning for remote sensing tasks,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised mate- rial and texture representation learning for remote sensing tasks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.331603Z

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Observation 9e1325f9-dd0f-4403-b42d-b79993948c18 · outbound

This paper cites Masked autoencoders are scalable vision learn- ers,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Masked autoencoders are scalable vision learn- ers,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.218914Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation becd8b61-0c17-4ec7-83b7-6a7e2b39fedf · outbound

This paper cites Simmim: A simple framework for masked image modeling,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Simmim: A simple framework for masked image modeling,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:56.086896Z

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Observation d8fadd52-003e-4e01-8826-ab2ef9432bb9 · outbound

This paper cites One for all: Toward unified foundation models for earth vision,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery One for all: Toward unified foundation models for earth vision,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.998756Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 364b0b62-4ef0-4197-b583-e02dc69b9a52 · outbound

This paper cites Self-supervised multi-image super-resolution for push-frame satellite images,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised multi-image super-resolution for push-frame satellite images,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.906968Z

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Observation c296603a-7427-4474-b782-944b7d6bf659 · outbound

This paper cites Hyperspectral image restoration with self-supervised learning: A two- 13 stage training approach,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Hyperspectral image restoration with self-supervised learning: A two- 13 stage training approach,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.789143Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 644d378d-db5f-4ea6-99c8-c725743f71f6 · outbound

This paper cites Self-supervised vision transformers for land-cover seg- mentation and classification,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Self-supervised vision transformers for land-cover seg- mentation and classification,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.669377Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d04e03de-082e-4df0-bd21-cfe0e653bd8d · outbound

This paper cites CaFFe (CAlving Fronts and where to Find thEm: a benchmark dataset and methodology for automatic glacier calving front extraction from sar imagery),.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery CaFFe (CAlving Fronts and where to Find thEm: a benchmark dataset and methodology for automatic glacier calving front extraction from sar imagery),

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:53.372826Z

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Observation ef918870-f42f-4bd2-bf5d-9b390b4e2090 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Swin transformer v2: Scaling up capacity and resolution,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.536029Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76b6b26a-4a03-4e4d-8aef-da10ee60697d · outbound

This paper cites Deep resid- ual learning for image recognition,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Deep resid- ual learning for image recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.417458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ca36c3b-49c5-4139-a66c-db431dac7513 · outbound

This paper cites Taming trans- formers for high-resolution image synthesis,.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Taming trans- formers for high-resolution image synthesis,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.272047Z

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Observation 0cb1bf99-ba67-4f01-ae51-15d234d6bc86 · outbound

This paper cites What makes multi-modal learning better than single (provably),.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery What makes multi-modal learning better than single (provably),

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:55.135369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bc28b79-caaa-49c9-b9d4-4a5202010394 · outbound

This paper cites Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:53.776716Z

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Unavailable: canonical work link unavailable.

Observation 731c1c3a-396c-43cc-a558-6fb1c048ee4e · outbound

This paper cites Field, Discovering Statistics Using IBM SPSS Statis- tics, 5th ed.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Field, Discovering Statistics Using IBM SPSS Statis- tics, 5th ed

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:54.963935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e21c117-c29f-4a03-8767-322a8333abbb · outbound

This paper cites Measuring and Modeling Mountain glaciers and ice caps in a Changing ClimAte.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery Measuring and Modeling Mountain glaciers and ice caps in a Changing ClimAte

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:54.803898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c80bce5-3996-48fd-9d11-276865280867 · outbound

This paper cites 4D nanoscope.

SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery 4D nanoscope

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:49:54.646485Z

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