{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:58Z","timestamp":1755907678825,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3627377.3627436","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T12:08:25Z","timestamp":1701691705000},"page":"377-383","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fu-W:A Hyperspectral Image Classification Algorithm Combining Mini Graph Convolutional Networks and Convolutional neural network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4977-1097","authenticated-orcid":false,"given":"Jiechuan","family":"Shi","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, China, \rChina High-resolution Earth Observation System Shandong Center of Data and Application, University of Jinan, China and \rShandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5735-2696","authenticated-orcid":false,"given":"Kun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, China, \rChina High-resolution Earth Observation System Shandong Center of Data and Application, University of Jinan, China and \rShandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6280-5324","authenticated-orcid":false,"given":"Hao","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, China, \rChina High-resolution Earth Observation System Shandong Center of Data and Application, University of Jinan, China and \rShandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2058-478X","authenticated-orcid":false,"given":"Can","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, China, \rChina High-resolution Earth Observation System Shandong Center of Data and Application, University of Jinan, China and \rShandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6866-6082","authenticated-orcid":false,"given":"Bo","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, China, \rChina High-resolution Earth Observation System Shandong Center of Data and Application, University of Jinan, China and \rShandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, China"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Deep learning in remote sensing: A comprehensive review and list of resources[J]","author":"Zhu X X","year":"2017","unstructured":"Zhu X X, Tuia D, Mou L, Deep learning in remote sensing: A comprehensive review and list of resources[J]. IEEE geoscience and remote sensing magazine, 2017, 5(4): 8-36."},{"key":"e_1_3_2_1_2_1","article-title":"Semisupervised cross-scale graph prototypical network for hyperspectral image classification[J]","author":"Xi B","year":"2022","unstructured":"Xi B, Li J, Li Y, Semisupervised cross-scale graph prototypical network for hyperspectral image classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"e_1_3_2_1_4_1","first-page":"4959","article-title":"Deep supervised learning for hyperspectral data classification through convolutional neural networks[C]\/\/2015 IEEE international geoscience and remote sensing symposium (IGARSS)","volume":"2015","author":"Makantasis K","unstructured":"Makantasis K, Karantzalos K, Doulamis A, Deep supervised learning for hyperspectral data classification through convolutional neural networks[C]\/\/2015 IEEE international geoscience and remote sensing symposium (IGARSS). IEEE, 2015: 4959-4962.","journal-title":"IEEE"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"e_1_3_2_1_6_1","volume-title":"Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907","author":"Kipf T N","year":"2016","unstructured":"Kipf T N, Welling M. Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907, 2016."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Simonovsky M Komodakis N. Dynamic edge-conditioned filters in convolutional neural networks on graphs[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 3693-3702.","DOI":"10.1109\/CVPR.2017.11"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"e_1_3_2_1_9_1","volume-title":"Graph neural networks: A review of methods and applications[J]. AI open","author":"Zhou J","year":"2020","unstructured":"Zhou J, Cui G, Hu S, Graph neural networks: A review of methods and applications[J]. AI open, 2020, 1: 57-81."},{"key":"e_1_3_2_1_10_1","volume-title":"A comprehensive survey on graph neural networks[J]","author":"Wu Z","year":"2020","unstructured":"Wu Z, Pan S, Chen F, A comprehensive survey on graph neural networks[J]. IEEE transactions on neural networks and learning systems, 2020, 32(1): 4-24."},{"key":"e_1_3_2_1_11_1","volume-title":"Spectral networks and locally connected networks on graphs[J]. arXiv preprint arXiv:1312.6203","author":"Bruna J","year":"2013","unstructured":"Bruna J, Zaremba W, Szlam A, Spectral networks and locally connected networks on graphs[J]. arXiv preprint arXiv:1312.6203, 2013."},{"key":"e_1_3_2_1_12_1","volume-title":"Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907","author":"Kipf T N","year":"2016","unstructured":"Kipf T N, Welling M. Semi-supervised classification with graph convolutional networks[J]. arXiv preprint arXiv:1609.02907, 2016."},{"key":"e_1_3_2_1_13_1","volume-title":"Ba J. Adam: A method for stochastic optimization[J]. arXiv preprint arXiv:1412.6980","author":"Kingma D P","year":"2014","unstructured":"Kingma D P, Ba J. Adam: A method for stochastic optimization[J]. arXiv preprint arXiv:1412.6980, 2014."},{"key":"e_1_3_2_1_14_1","volume-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift[C]\/\/International conference on machine learning. pmlr","author":"Ioffe S","year":"2015","unstructured":"Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift[C]\/\/International conference on machine learning. pmlr, 2015: 448-456."}],"event":{"name":"ICBDT 2023: 2023 6th International Conference on Big Data Technologies","acronym":"ICBDT 2023","location":"Qingdao China"},"container-title":["Proceedings of the 2023 6th International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627436","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627377.3627436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:20:07Z","timestamp":1755879607000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":14,"alternative-id":["10.1145\/3627377.3627436","10.1145\/3627377"],"URL":"https:\/\/doi.org\/10.1145\/3627377.3627436","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}