{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:04:49Z","timestamp":1776441889458,"version":"3.51.2"},"reference-count":87,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB3903404"],"award-info":[{"award-number":["2022YFB3903404"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42192580"],"award-info":[{"award-number":["42192580"]}],"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":["42192583"],"award-info":[{"award-number":["42192583"]}],"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":["42101327"],"award-info":[{"award-number":["42101327"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3439491","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T17:45:56Z","timestamp":1723052756000},"page":"1-16","source":"Crossref","is-referenced-by-count":3,"title":["Segmenting Remote Sensing Anomalies at Instance Level via Anomaly Map-Guided Adaptation"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0263-9831","authenticated-orcid":false,"given":"Jingtao","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9446-5850","authenticated-orcid":false,"given":"Yanfei","family":"Zhong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5878-5152","authenticated-orcid":false,"given":"Hengwei","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3325-1183","authenticated-orcid":false,"given":"Zhi","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0493-3954","authenticated-orcid":false,"given":"Xinyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3165833"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2010.5546306"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25563"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152252"},{"key":"ref5","article-title":"A unified remote sensing anomaly detector across modalities and scenes via deviation relationship learning","author":"Li","year":"2023","journal-title":"arXiv:2310.07511"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMCAS44984.2019.8958073"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3057721"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071026"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/29.60107"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2968750"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872900"},{"key":"ref12","article-title":"SAR anomalies detection based on deep learning","volume-title":"Proc. XXVIII\\`eme Colloq. GRETSI","author":"Muzeau"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC49870.2020.9289470"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3279834"},{"key":"ref15","article-title":"BSDM: Background suppression diffusion model for hyperspectral anomaly detection","author":"Ma","year":"2023","journal-title":"arXiv:2307.09861"},{"key":"ref16","article-title":"One-step detection paradigm for hyperspectral anomaly detection via spectral deviation relationship learning","author":"Li","year":"2023","journal-title":"arXiv:2303.12342"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01268"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112012"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00297"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00438"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110570"},{"key":"ref24","article-title":"DAB-DETR: Dynamic anchor boxes are better queries for DETR","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109385"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112414"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.03.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2019.03.006"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.10.019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3439950"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2021.1907462"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2023.3340413"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3362914"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.11.023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2019.2916212"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015826"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112636"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs16010135"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.873019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2343955"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3122259"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.012"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.841487"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2155030"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2302446"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3069716"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3086768"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3269097"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729118"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2493201"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/rs11010047"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3102048"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3258067"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00657"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00683"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01085"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref62","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. NIPS","author":"Cheng"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00424"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01255"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.10.015"},{"key":"ref66","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhu"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref68","first-page":"19882","article-title":"Deep anomaly detection under labeling budget constraints","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01325"},{"key":"ref71","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01543"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00305"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107787"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00860"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.23919\/MVA57639.2023.10215935"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1906.07155"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3048138"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2009.2038120"},{"issue":"11","key":"ref81","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2818159"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.2991\/jrnal.k.190601.001"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/3429309.3429326"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296692"},{"key":"ref86","first-page":"4571","article-title":"A unified model for multi-class anomaly detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"You"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153596"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10630639.pdf?arnumber=10630639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T20:10:46Z","timestamp":1736367046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10630639\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":87,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3439491","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}