{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:06:04Z","timestamp":1764050764685,"version":"3.45.0"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3625781","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T17:58:20Z","timestamp":1761587900000},"page":"28812-28829","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Cross Class-Related Aggregation Based Knowledge Distillation for Remote Sensing Scene Classification"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9335-9180","authenticated-orcid":false,"given":"Xiaoning","family":"Chen","sequence":"first","affiliation":[{"name":"School of Information Engineering, Xi'an University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8018-596X","authenticated-orcid":false,"given":"Shaohui","family":"Mei","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2944-628X","authenticated-orcid":false,"given":"Mingyang","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9613-6458","authenticated-orcid":false,"given":"Zonghao","family":"Han","sequence":"additional","affiliation":[{"name":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8198-5468","authenticated-orcid":false,"given":"Yongliang","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Xi'an University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0619-7866","authenticated-orcid":false,"given":"Jian","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi'an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2011.03.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2020.104851"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2893115"},{"issue":"3","key":"ref4","doi-asserted-by":"crossref","first-page":"149","DOI":"10.3390\/resources8030149","volume":"8","author":"Avtar","year":"2019","journal-title":"Resources"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3580937"},{"key":"ref7","first-page":"3425","article-title":"Next-ViT: Next generation vision transformer for efficient deployment in realistic industrial scenarios","volume-title":"Proc. 31st ACM Int. Conf. Multimedia","author":"Li","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3206148"},{"key":"ref9","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3432604"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3586239"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3048024"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3130073"},{"key":"ref14","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3322558"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3074508"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3229729"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3289878"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030516"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3157671"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs13204143"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/rs13245076"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3331880"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2960026"},{"issue":"3","key":"ref26","first-page":"1","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","volume":"2","author":"Han","year":"2016"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747328"},{"key":"ref28","first-page":"2502","article-title":"Distilling the knowledge in a neural network","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","volume":"2","author":"Hinton","year":"2015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00145"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01165"},{"key":"ref33","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Komodakis","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00511"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00489"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"issue":"3","key":"ref37","first-page":"1","article-title":"Contrastive representation distillation","volume-title":"Proc. Int. Conf. Learn. Representations","volume":"2","author":"Tian","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01627"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/rs14205186"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs14194813"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.4135\/9781071810118"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3208904"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3194549"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/DSIT55514.2022.9943931"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00497"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_34"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01312"},{"key":"ref49","first-page":"1","article-title":"FitNets: Hints for thin deep nets","volume":"2","author":"Adriana","year":"2015"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2984362"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS52108.2023.10282366"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00110"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5746"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00381"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5963"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2021.3125249"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/rs15235620"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12208"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3152566"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3343521"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3174352"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3391018"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/rs14163995"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/rs10050719"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150464"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00396"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3124135"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11667"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref70","article-title":"Representation learning with contrastive predictive coding","volume-title":"Proc. 32nd Conf. Neural Inf. Process. Syst.","author":"Oord","year":"2018"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00201"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01142"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3044655"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3011405"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975718"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11217543.pdf?arnumber=11217543","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T05:54:56Z","timestamp":1764050096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11217543\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3625781","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"type":"print","value":"1939-1404"},{"type":"electronic","value":"2151-1535"}],"subject":[],"published":{"date-parts":[[2025]]}}}