{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:45:17Z","timestamp":1778258717175,"version":"3.51.4"},"reference-count":44,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006240"],"award-info":[{"award-number":["62006240"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3493096","type":"journal-article","created":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T19:53:34Z","timestamp":1731009214000},"page":"1-14","source":"Crossref","is-referenced-by-count":10,"title":["An Efficient and Lightweight Spectral-Spatial Feature Graph Contrastive Learning Framework for Hyperspectral Image Clustering"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2535-2371","authenticated-orcid":false,"given":"Aitao","family":"Yang","sequence":"first","affiliation":[{"name":"Xi’an Research Institute of High Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3009-279X","authenticated-orcid":false,"given":"Min","family":"Li","sequence":"additional","affiliation":[{"name":"Xi’an Research Institute of High Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2040-2640","authenticated-orcid":false,"given":"Yao","family":"Ding","sequence":"additional","affiliation":[{"name":"Xi’an Research Institute of High Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3035-7727","authenticated-orcid":false,"given":"Xiongwu","family":"Xiao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2299-4945","authenticated-orcid":false,"given":"Yujie","family":"He","sequence":"additional","affiliation":[{"name":"Xi’an Research Institute of High Technology, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fenvs.2023.1353447"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3159999"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102383"},{"key":"ref4","first-page":"124","article-title":"Military object detection using multiple information extracted from hyperspectral imagery","volume-title":"Proc. Int. Conf. Prog. Inform. Comput. (PIC)","author":"Chen"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2017.1399674"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2145353"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.339824"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3153673"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3314616"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3367765"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/electronics7110283"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018135"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3246633"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2992743"},{"key":"ref16","first-page":"1","article-title":"Towards K-means-friendly spaces: Simultaneous deep learning and clustering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267070"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3304836"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2017.2780890"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3217597"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/509"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref23","first-page":"1","article-title":"Adversarial graph augmentation to improve graph contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Suresh"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20748"},{"key":"ref25","first-page":"1","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"You"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i6.25858"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109448"},{"key":"ref28","first-page":"12121","article-title":"Graph contrastive learning automated","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"You"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26168"},{"key":"ref30","first-page":"2972","article-title":"Revisiting graph contrastive learning from the perspective of graph spectrum","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Liu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3219855"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3153446"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3304716"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3349076"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26336"},{"key":"ref37","first-page":"1","article-title":"LightGCL: Simple yet effective graph contrastive learning for recommendation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xuheng"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3179637"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17198"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3158654"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3125687"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO58844.2023.10290100"},{"issue":"86","key":"ref44","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10354519\/10746460.pdf?arnumber=10746460","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T14:50:16Z","timestamp":1732719016000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10746460\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3493096","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}