{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:44:29Z","timestamp":1766486669048,"version":"3.37.3"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"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":["42101321"],"award-info":[{"award-number":["42101321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011350","name":"State Key Laboratory of Remote Sensing Science","doi-asserted-by":"publisher","award":["OFSLRSS202119"],"award-info":[{"award-number":["OFSLRSS202119"]}],"id":[{"id":"10.13039\/501100011350","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,17]]},"DOI":"10.1109\/igarss46834.2022.9883492","type":"proceedings-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T20:12:24Z","timestamp":1664395944000},"page":"2251-2254","source":"Crossref","is-referenced-by-count":2,"title":["An Attention Based Lightweight Network For Hyperspectral Images Classification"],"prefix":"10.1109","author":[{"given":"Xuming","family":"Zhang","sequence":"first","affiliation":[{"name":"Cornational Institute for Earth System Science, Nanjing University,Nanjing,China,210023"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingjiu","family":"Tian","sequence":"additional","affiliation":[{"name":"Cornational Institute for Earth System Science, Nanjing University,Nanjing,China,210023"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingfa","family":"Gu","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100049"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2725580"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1109\/TGRS.2017.2755542","article-title":"Spectral&#x2013;spatial residual network for hyperspectral image classification: A 3-D deep learning framework","volume":"56","author":"zhong","year":"2018","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs10071068"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2011.09.014"},{"key":"ref3","first-page":"115","article-title":"Principal component analysis for hyperspectral image classification","volume":"62","author":"rodarmel","year":"2002","journal-title":"Surv Land Inf Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2047711"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2513002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2209657"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref2","first-page":"813","article-title":"Support vector machines for classification of hyperspectral data","author":"gualtieri","year":"2020","journal-title":"Proc IEEE Int Geosci Remote Sens Symp (IGARSS)"},{"key":"ref1","first-page":"1","article-title":"Spectral-Spatial Self-Attention Networks for Hyperspectral Image Classification","author":"zhang","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.11.045"}],"event":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2022,7,17]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2022,7,22]]}},"container-title":["IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9883023\/9883024\/09883492.pdf?arnumber=9883492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:54:33Z","timestamp":1665780873000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9883492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/igarss46834.2022.9883492","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}