{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T03:13:39Z","timestamp":1780110819025,"version":"3.54.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2022.3149323","type":"journal-article","created":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T20:49:46Z","timestamp":1644266986000},"page":"1-13","source":"Crossref","is-referenced-by-count":55,"title":["AI4SeaIce: Toward Solving Ambiguous SAR Textures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9423-8866","authenticated-orcid":false,"given":"Andreas","family":"Stokholm","sequence":"first","affiliation":[{"name":"DTU Space, National Space Institute, Technical University of Denmark (DTU), Kongens Lyngby, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tore","family":"Wulf","sequence":"additional","affiliation":[{"name":"Danish Meteorological Institute (DMI), Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrzej","family":"Kucik","sequence":"additional","affiliation":[{"name":"European Space Agency (ESA) Φ-Lab, Explore Office, European Space Research Institute (ESRIN), ESA, Frascati, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4716-438X","authenticated-orcid":false,"given":"Roberto","family":"Saldo","sequence":"additional","affiliation":[{"name":"DTU Space, National Space Institute, Technical University of Denmark (DTU), Kongens Lyngby, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3014-9765","authenticated-orcid":false,"given":"Jorgen","family":"Buus-Hinkler","sequence":"additional","affiliation":[{"name":"Danish Meteorological Institute (DMI), Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8159-6499","authenticated-orcid":false,"given":"Sine Munk","family":"Hvidegaard","sequence":"additional","affiliation":[{"name":"DTU Space, National Space Institute, Technical University of Denmark (DTU), Kongens Lyngby, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"AI4Arctic\/ASIP sea ice dataset\u2014Version 2","author":"Saldo","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/ecoj.12460"},{"key":"ref3","article-title":"Arctic landgrab","volume-title":"National Geographic","author":"Funk","year":"2009"},{"key":"ref4","volume-title":"AI4Arctic\/ASIP sea ice dataset\u2014Version 2","author":"Saldo","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2012.6351191"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2543660"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050408"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3004539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3074068"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs12132165"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9554434"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2889381"},{"key":"ref15","volume-title":"Thermal Denoising Products Generated by S-1 IPF","author":"Piantanida","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3131036"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2765248"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2426414"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref20","volume-title":"imgaug: Image augmentation for machine learning experiments","author":"Jung","year":"2020"},{"key":"ref21","article-title":"Tiling and stitching segmentation output for remote sensing: Basic challenges and recommendations","author":"Huang","year":"2018","journal-title":"arXiv:1805.12219"},{"key":"ref22","volume-title":"U-Net model PyTorch implementation","author":"Stokholm","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00021"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09705586.pdf?arnumber=9705586","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:17:13Z","timestamp":1705533433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9705586\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2022.3149323","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}