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

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Heidler, Konrad, Nitze, Ingmar, Grosse, Guido, Zhu, Xiao Xiang
Other Authors: German Federal Ministry for Economic Affairs and Climate Action within the framework of the “National Center of Excellence ML4Earth”, Helmholtz-Gemeinschaft deutscher Forschungszentren (HGF) “Artificial Intelligence for Cold Regions” (AI-CORE) Projects, Permafrost Discovery Gateway, Google.org Impact Challenge PDG Grant, Bundesministerium für Bildung und Forschung (BMBF) Future Lab Artificial Intelligence for Earth Observation, Munich Center for Machine Learning
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Subjects:
Arctic
permafrost
Online Access:http://dx.doi.org/10.1109/tgrs.2024.3448294
https://ieeexplore.ieee.org/ielam/36/10354519/10643625-aam.pdf
http://xplorestaging.ieee.org/ielx8/36/10354519/10643625.pdf?arnumber=10643625
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spelling crieeecr:10.1109/tgrs.2024.3448294 2024-09-30T14:29:08+00:00 PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic Heidler, Konrad Nitze, Ingmar Grosse, Guido Zhu, Xiao Xiang German Federal Ministry for Economic Affairs and Climate Action within the framework of the “National Center of Excellence ML4Earth” Helmholtz-Gemeinschaft deutscher Forschungszentren (HGF) “Artificial Intelligence for Cold Regions” (AI-CORE) Projects Permafrost Discovery Gateway Google.org Impact Challenge PDG Grant Bundesministerium für Bildung und Forschung (BMBF) Future Lab Artificial Intelligence for Earth Observation Munich Center for Machine Learning 2024 http://dx.doi.org/10.1109/tgrs.2024.3448294 https://ieeexplore.ieee.org/ielam/36/10354519/10643625-aam.pdf http://xplorestaging.ieee.org/ielx8/36/10354519/10643625.pdf?arnumber=10643625 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by/4.0/legalcode https://creativecommons.org/licenses/by/4.0/legalcode IEEE Transactions on Geoscience and Remote Sensing volume 62, page 1-12 ISSN 0196-2892 1558-0644 journal-article 2024 crieeecr https://doi.org/10.1109/tgrs.2024.3448294 2024-09-09T05:35:50Z Article in Journal/Newspaper Arctic permafrost IEEE Publications Arctic IEEE Transactions on Geoscience and Remote Sensing 62 1 12
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 German Federal Ministry for Economic Affairs and Climate Action within the framework of the “National Center of Excellence ML4Earth”
Helmholtz-Gemeinschaft deutscher Forschungszentren (HGF) “Artificial Intelligence for Cold Regions” (AI-CORE) Projects
Permafrost Discovery Gateway
Google.org Impact Challenge PDG Grant
Bundesministerium für Bildung und Forschung (BMBF) Future Lab Artificial Intelligence for Earth Observation
Munich Center for Machine Learning
format Article in Journal/Newspaper
author Heidler, Konrad
Nitze, Ingmar
Grosse, Guido
Zhu, Xiao Xiang
spellingShingle Heidler, Konrad
Nitze, Ingmar
Grosse, Guido
Zhu, Xiao Xiang
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
author_facet Heidler, Konrad
Nitze, Ingmar
Grosse, Guido
Zhu, Xiao Xiang
author_sort Heidler, Konrad
title PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
title_short PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
title_full PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
title_fullStr PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
title_full_unstemmed PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
title_sort pixeldino: semi-supervised semantic segmentation for detecting permafrost disturbances in the arctic
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2024
url http://dx.doi.org/10.1109/tgrs.2024.3448294
https://ieeexplore.ieee.org/ielam/36/10354519/10643625-aam.pdf
http://xplorestaging.ieee.org/ielx8/36/10354519/10643625.pdf?arnumber=10643625
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
genre_facet Arctic
permafrost
op_source IEEE Transactions on Geoscience and Remote Sensing
volume 62, page 1-12
ISSN 0196-2892 1558-0644
op_rights https://creativecommons.org/licenses/by/4.0/legalcode
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.1109/tgrs.2024.3448294
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 62
container_start_page 1
op_container_end_page 12
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