{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:40:52Z","timestamp":1780594852968,"version":"3.54.1"},"reference-count":16,"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"}],"funder":[{"name":"China Scholarship Concil and by the European Research Council ERC under the European Unions Horizon 2020 Research and Innovation Programme","award":["ERC-2016-StG-714087, Acronym: So2Sat, by the Helmholtz Association through the Framework of Helmholtz Artificial Intelligence - ``Munich Unit @Aeronautics, Space and Transport (MASTr)'' and Helmholtz Excellent Professorship ``Data Science in Earth Observation - Big Data Fusion for Urban Research''"],"award-info":[{"award-number":["ERC-2016-StG-714087, Acronym: So2Sat, by the Helmholtz Association through the Framework of Helmholtz Artificial Intelligence - ``Munich Unit @Aeronautics, Space and Transport (MASTr)'' and Helmholtz Excellent Professorship ``Data Science in Earth Observation - Big Data Fusion for Urban Research''"]}]},{"name":"German Federal Ministry of Education and Research BMBF in the framework of the international future AI lab AI4EO"},{"name":"Federal Ministry of Transport and Digital Infrastructure BMVI","award":["16AVF2019A"],"award-info":[{"award-number":["16AVF2019A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lgrs.2020.3037246","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T01:33:01Z","timestamp":1606267981000},"page":"1-5","source":"Crossref","is-referenced-by-count":12,"title":["Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification"],"prefix":"10.1109","volume":"19","author":[{"given":"Chunping","family":"Qiu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7272-1419","authenticated-orcid":false,"given":"Lukas","family":"Liebel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0293-4491","authenticated-orcid":false,"given":"Lloyd Haydn","family":"Hughes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0575-2362","authenticated-orcid":false,"given":"Michael","family":"Schmitt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9186-4175","authenticated-orcid":false,"given":"Marco","family":"Korner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5530-3613","authenticated-orcid":false,"given":"Xiao Xiang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-D-11-00019.1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/20964471.2017.1397899"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2272953"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.11.014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.uclim.2018.11.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLI-B8-1371-2016"},{"key":"ref7","article-title":"An overview of multi-task learning in deep neural networks","author":"Ruder","year":"2017","journal-title":"arXiv:1706.05098"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.03.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref11","first-page":"6965","article-title":"A probabilistic U-Net for segmentation of ambiguous images","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Kohl"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.028"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_17"},{"key":"ref15","first-page":"12","article-title":"Copernicus land monitoring service\u2013high resolution layer imperviousness: Product specifications document","volume-title":"Proc. Copernicus EEA","author":"Langanke"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.2964708"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9651998\/09269372.pdf?arnumber=9269372","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:20:05Z","timestamp":1704846005000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9269372\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2020.3037246","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}