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spelling crieeecr:10.1109/igarss47720.2021.9554511 2024-10-06T13:52:40+00:00 Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model Huang, Yan Ren, Yibin Li, Xiaofeng European Space Agency Chinese Academy of Sciences Key R & D project of Shandong Province China Postdoctoral Science Foundation 2021 http://dx.doi.org/10.1109/igarss47720.2021.9554511 http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554511.pdf?arnumber=9554511 unknown IEEE https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS volume 566, page 3502-3505 proceedings-article 2021 crieeecr https://doi.org/10.1109/igarss47720.2021.9554511 2024-09-09T05:36:42Z Conference Object Sea ice IEEE Publications 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS 3502 3505
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 European Space Agency
Chinese Academy of Sciences
Key R & D project of Shandong Province
China Postdoctoral Science Foundation
format Conference Object
author Huang, Yan
Ren, Yibin
Li, Xiaofeng
spellingShingle Huang, Yan
Ren, Yibin
Li, Xiaofeng
Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
author_facet Huang, Yan
Ren, Yibin
Li, Xiaofeng
author_sort Huang, Yan
title Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
title_short Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
title_full Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
title_fullStr Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
title_full_unstemmed Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model
title_sort classifying sea ice types from sar images using a u-net-based deep learning model
publisher IEEE
publishDate 2021
url http://dx.doi.org/10.1109/igarss47720.2021.9554511
http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554511.pdf?arnumber=9554511
genre Sea ice
genre_facet Sea ice
op_source 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
volume 566, page 3502-3505
op_rights https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
op_doi https://doi.org/10.1109/igarss47720.2021.9554511
container_title 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
container_start_page 3502
op_container_end_page 3505
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