{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:44:44Z","timestamp":1740102284350,"version":"3.37.3"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,16]]},"DOI":"10.1109\/igarss52108.2023.10282995","type":"proceedings-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T17:42:53Z","timestamp":1697823773000},"page":"7555-7558","source":"Crossref","is-referenced-by-count":1,"title":["Pixel- And Patch-Wise Context-Aware Learning with CNN and GCN Collaboration for Hyperspectral Image Classification"],"prefix":"10.1109","author":[{"given":"H.","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"K.","family":"Gao","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"X.","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"J.","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"Z.","family":"Hu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"Z.","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"Y.","family":"Mao","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]},{"given":"Y.","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing,China,100081"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119508"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3198931"},{"key":"ref14","article-title":"How powerful are graph neural networks?","author":"xu","year":"2019","journal-title":"Proceedings of International Conference for Learning Representations (ICLR)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3037361"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2973363"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3062872"},{"key":"ref1","first-page":"1","article-title":"Multilevel superpixel structured graph u-nets for hyperspectral image classification","volume":"60","author":"liu","year":"2021","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3171586"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2974134"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3188853"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3197934"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2533430"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030530"},{"article-title":"Attention mechanism meets with hybrid dense network for hyperspectral image classification","year":"2022","author":"ahmad","key":"ref5"}],"event":{"name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2023,7,16]]},"location":"Pasadena, CA, USA","end":{"date-parts":[[2023,7,21]]}},"container-title":["IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10281394\/10281399\/10282995.pdf?arnumber=10282995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:10:42Z","timestamp":1699902642000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10282995\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/igarss52108.2023.10282995","relation":{},"subject":[],"published":{"date-parts":[[2023,7,16]]}}}