{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T16:11:13Z","timestamp":1778947873746,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["42101327"],"award-info":[{"award-number":["42101327"]}],"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":["42071350"],"award-info":[{"award-number":["42071350"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB3903502"],"award-info":[{"award-number":["2022YFB3903502"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"LIESMARS Special Research Funding"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3292929","type":"journal-article","created":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T17:19:04Z","timestamp":1688663944000},"page":"1-17","source":"Crossref","is-referenced-by-count":8,"title":["One-Class Risk Estimation for One-Class Hyperspectral Image Classification"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5878-5152","authenticated-orcid":false,"given":"Hengwei","family":"Zhao","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 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, 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"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2108-1797","authenticated-orcid":false,"given":"Hong","family":"Shu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2058578"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.03.004"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-01234-2_1","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Computer Vision&#x2014;ECCV 2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112584"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3025451"},{"key":"ref58","article-title":"Support vector method for novelty detection","author":"sch\u00f6lkopf","year":"2000","journal-title":"Advances in neural information processing systems"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250918"},{"key":"ref52","first-page":"387","article-title":"Partially supervised classification of text documents","author":"liu","year":"2002","journal-title":"Proc 19th Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs9111161"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.890414"},{"key":"ref54","first-page":"4604","article-title":"Do we need zero training loss after achieving zero training error?","author":"ishida","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2577886"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112012"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3049292"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3198142"},{"key":"ref51","article-title":"Binary classification from positive-confidence data","volume":"31","author":"ishida","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref50","first-page":"2693","article-title":"Estimating the class prior and posterior from noisy positives and unlabeled data","volume":"29","author":"jain","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3243853"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3185795"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3046756"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3109872"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2710079"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2899057"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3191541"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2923243"},{"key":"ref49","first-page":"2052","article-title":"Mixture proportion estimation via kernel embeddings of distributions","volume":"48","author":"ramaswamy","year":"2016","journal-title":"Proc The 33rd Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335388"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00534"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.897425"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.03.005"},{"key":"ref3","article-title":"Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification","volume":"112","author":"li","year":"2022","journal-title":"Int J Appl Earth Observ Geoinf"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401920"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.09.018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2899129"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155114"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3169773"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2967821"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2934760"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.031"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3266565"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3171551"},{"key":"ref2","article-title":"DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery","volume":"105","author":"lei","year":"2021","journal-title":"Int J Appl Earth Observ Geoinf"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2016.1265689"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860125"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2827407"},{"key":"ref24","first-page":"1","article-title":"Addressing failure prediction by learning model confidence","volume":"32","author":"corbi\u00e8re","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.05.016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3225902"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3069716"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.10.014"},{"key":"ref22","article-title":"Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China","volume":"118","author":"liu","year":"2023","journal-title":"Int J Appl Earth Observ Geoinf"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2022.113058"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111310"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3141843"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9884362"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3074196"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10174705.pdf?arnumber=10174705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:55:30Z","timestamp":1693245330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10174705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3292929","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}