{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:10:23Z","timestamp":1775470223087,"version":"3.50.1"},"reference-count":40,"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:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52279005"],"award-info":[{"award-number":["52279005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"High Impact Weather Key Laboratory of CMA"},{"name":"Humanities and Social Science Fund of Ministry of Education","award":["23YJAZH111"],"award-info":[{"award-number":["23YJAZH111"]}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2023JJ10054"],"award-info":[{"award-number":["2023JJ10054"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/jstars.2024.3355931","type":"journal-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:46:33Z","timestamp":1705689993000},"page":"4392-4407","source":"Crossref","is-referenced-by-count":8,"title":["An Efficient and Adaptive Reconstructive Homogeneous Block-Based Local Tensor Robust PCA for Feature Extraction of Hyperspectral Images"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3728-4572","authenticated-orcid":false,"given":"Longxia","family":"Qian","sequence":"first","affiliation":[{"name":"School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9035-3922","authenticated-orcid":false,"given":"Xianyue","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9948-6996","authenticated-orcid":false,"given":"Mei","family":"Hong","sequence":"additional","affiliation":[{"name":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4801-2786","authenticated-orcid":false,"given":"Hongrui","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Water Science, Beijing Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6461-5037","authenticated-orcid":false,"given":"Yongchui","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103302"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103286"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2023.2234091"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3006757"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3075491"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3278866"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3328389"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3264587"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3330474"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2677944"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3275146"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3214542"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2952062"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3251861"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3329510"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.39"},{"key":"ref18","article-title":"Tensor robust principal component analysis: Better recovery with atomic norm regularization","author":"Driggs","year":"2019","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2791718"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00615"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3469877.3493592"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.485"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2891760"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3017672"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2873142"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2915315"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3233945"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3093582"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs15153841"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2689021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/urai.2013.6677405"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.567"},{"key":"ref34","article-title":"220 band AVIRIS hyperspectral image data set: June 12, 1992 Indian Pine test site 3","author":"Baumgardner","year":"2015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2867592"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112012"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102935"},{"key":"ref40","article-title":"Tensor robust principal component analysis via weighted tensor Schatten p norm and Lp norm","year":"2023"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.109153"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/10330207\/10409499.pdf?arnumber=10409499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:05:57Z","timestamp":1725552357000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10409499\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/jstars.2024.3355931","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}