{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:25:19Z","timestamp":1787498719587,"version":"build-2736575974"},"reference-count":45,"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 Nature Science Foundations of China","doi-asserted-by":"publisher","award":["61802190"],"award-info":[{"award-number":["61802190"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundations of China","doi-asserted-by":"publisher","award":["62276133"],"award-info":[{"award-number":["62276133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundations of China","doi-asserted-by":"publisher","award":["62171332"],"award-info":[{"award-number":["62171332"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundations of China","doi-asserted-by":"publisher","award":["61871226"],"award-info":[{"award-number":["61871226"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundations of China","doi-asserted-by":"publisher","award":["62071233"],"award-info":[{"award-number":["62071233"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundations of China","doi-asserted-by":"publisher","award":["62001226"],"award-info":[{"award-number":["62001226"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JSGP202101"],"award-info":[{"award-number":["JSGP202101"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JSGP202204"],"award-info":[{"award-number":["JSGP202204"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Nature Science Foundations of Jiangsu Province, China","award":["BK20190451"],"award-info":[{"award-number":["BK20190451"]}]},{"name":"Open Research Fund Program of LIESMARS","award":["22R04"],"award-info":[{"award-number":["22R04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3284074","type":"journal-article","created":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T13:33:29Z","timestamp":1686231209000},"page":"1-15","source":"Crossref","is-referenced-by-count":6,"title":["Spatial\u2013Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0101-4228","authenticated-orcid":false,"given":"Wenfei","family":"Gao","sequence":"first","affiliation":[{"name":"Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9752-9530","authenticated-orcid":false,"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5999-2361","authenticated-orcid":false,"given":"Jia","family":"Liu","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0178-9384","authenticated-orcid":false,"given":"Liang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, School of Computer Science and Engineering, Nanjing University of Science and Technology, Jiangsu, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1375-0778","authenticated-orcid":false,"given":"Xu","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Shaanxi, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2060550"},{"key":"ref35","first-page":"1","article-title":"Learning to combine foveal glimpses with a third-order Boltzmann machine","volume":"23","author":"larochelle","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2836671"},{"key":"ref15","first-page":"513","article-title":"Principal component analysis","volume":"87","author":"jolliffe","year":"2002","journal-title":"J Marketing Res"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162649"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878958"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2543748"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs11030223"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.02.025"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127329"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/79.974718"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2153861"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ECTIDAMTNCON51128.2021.9425696"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MCSI.2018.00027"},{"key":"ref18","article-title":"Dynamical variational autoencoders: A comprehensive review","author":"girin","year":"2020","journal-title":"arXiv 2008 12595"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"ref23","first-page":"2642","article-title":"Conditional image synthesis with auxiliary classifier GANs","author":"odena","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3174305"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11220-015-0126-z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2907932"},{"key":"ref42","article-title":"Wavelet-attention CNN for image classification","author":"xiangyu","year":"2022","journal-title":"arXiv 2201 09271"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3043267"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/095400999116340"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref43","first-page":"20343","article-title":"LAPAR: Linearly-assembled pixel-adaptive regression network for single image super-resolution and beyond","volume":"33","author":"li","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2838665"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN.2019.8711731"},{"key":"ref29","first-page":"65","article-title":"Feature extraction and image retrieval based on AlexNet","volume":"10033","author":"yuan","year":"2016","journal-title":"Proc SPIE"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2854840"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2013.2244672"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.2979764"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2003.09.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-03978-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/0143116031000066954"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2007.06.001"},{"key":"ref40","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10146301.pdf?arnumber=10146301","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T13:42:23Z","timestamp":1689601343000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10146301\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3284074","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}