{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T19:19:03Z","timestamp":1766171943666,"version":"3.48.0"},"reference-count":28,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lgrs.2023.3341497","type":"journal-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T13:47:12Z","timestamp":1702388832000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["IRSN: Involutional Residual Spectral Network for Hyperspectral Image Classification"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1426-319X","authenticated-orcid":false,"given":"M\u00fccahit","family":"Cihan","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6503-9668","authenticated-orcid":false,"given":"Murat","family":"Ceylan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, Konya, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470124628.ch2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2012.719684"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2007.905116"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.918955"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2912563"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107298"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodres.2021.110577"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2018.10.028"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s20061734"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs8020099"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICOT.2016.8278975"},{"key":"ref15","article-title":"Band attention convolutional networks for hyperspectral image classification","author":"Dong","year":"2019","journal-title":"arXiv:1906.04379"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.11.021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2021.06.009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3043710"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3213865"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-022-10929-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3139464"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01214"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3102069"},{"key":"ref24","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3162721"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3053397"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2918719"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2995575"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/10365397\/10354017.pdf?arnumber=10354017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T19:03:34Z","timestamp":1766171014000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10354017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2023.3341497","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"type":"print","value":"1545-598X"},{"type":"electronic","value":"1558-0571"}],"subject":[],"published":{"date-parts":[[2024]]}}}