{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:48:24Z","timestamp":1775069304776,"version":"3.50.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62425109"],"award-info":[{"award-number":["62425109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22B2014"],"award-info":[{"award-number":["U22B2014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019081","name":"Science and Technology Plan Project Fund of Hunan Province","doi-asserted-by":"publisher","award":["2022RC3064"],"award-info":[{"award-number":["2022RC3064"]}],"id":[{"id":"10.13039\/501100019081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3550039","type":"journal-article","created":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T17:47:09Z","timestamp":1742320029000},"page":"1864-1878","source":"Crossref","is-referenced-by-count":4,"title":["HSLabeling: Toward Efficient Labeling for Large-Scale Remote Sensing Image Segmentation With Hybrid Sparse Labeling"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7106-5424","authenticated-orcid":false,"given":"Jiaxing","family":"Lin","sequence":"first","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7967-5606","authenticated-orcid":false,"given":"Zhen","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1151-7889","authenticated-orcid":false,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4588-0518","authenticated-orcid":false,"given":"Yinglong","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1203-741X","authenticated-orcid":false,"given":"Pedram","family":"Ghamisi","sequence":"additional","affiliation":[{"name":"Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8310-024X","authenticated-orcid":false,"given":"Weiying","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2351-4461","authenticated-orcid":false,"given":"Leyuan","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910667"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2020.103921"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.06.011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.02.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12071130"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2747\/1548-1603.43.1.39"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3238648"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3326400"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3349868"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2024.3382510"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3296757"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01640"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526761"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.01.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.413"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917952"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3001401"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3097148"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144894"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3245324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2015.7326158"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.01.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3189825"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref29","article-title":"Fully convolutional multi-class multiple instance learning","author":"Pathak","year":"2014","journal-title":"arXiv:1412.7144"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00231"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01229"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3222904"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01273"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00194"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01483"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00817"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103540"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3356074"},{"key":"ref43","first-page":"8815","article-title":"SAMRS: Scaling-up remote sensing segmentation dataset with segment anything model","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref44","article-title":"Push the boundary of SAM: A pseudo-label correction framework for medical segmentation","author":"Huang","year":"2023","journal-title":"arXiv:2308.00883"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00790"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00591"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01095"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3120041"},{"key":"ref49","article-title":"CEREALS\u2013cost-effective region-based active learning for semantic segmentation","author":"Mackowiak","year":"2018","journal-title":"arXiv:1810.09726"},{"key":"ref50","article-title":"MetaBox+: A new region based active learning method for semantic segmentation using priority maps","author":"Colling","year":"2020","journal-title":"arXiv:2010.01884"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00037"},{"key":"ref52","first-page":"5105","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Qi"},{"key":"ref53","article-title":"Shape complexity estimation using VAE","author":"Rothgaenger","year":"2023","journal-title":"arXiv:2304.02766"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCSW.2011.20"},{"key":"ref55","article-title":"LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation","author":"Wang","year":"2021","journal-title":"arXiv:2110.08733"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_31"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01043"},{"issue":"2","key":"ref60","first-page":"896","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"3","author":"Lee"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01871"},{"key":"ref62","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Adv. Neural Inf. Process. Sys. (NIPS)","volume":"34","author":"Xie"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3163278"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3138\/FM57-6770-U75U-7727"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/10930666.pdf?arnumber=10930666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T04:39:45Z","timestamp":1743223185000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10930666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3550039","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}