{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:47:20Z","timestamp":1772776040688,"version":"3.50.1"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41631176"],"award-info":[{"award-number":["41631176"]}],"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":[[2022]]},"DOI":"10.1109\/tgrs.2021.3120914","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T22:56:59Z","timestamp":1634338619000},"page":"1-17","source":"Crossref","is-referenced-by-count":13,"title":["Attention-Aware Dynamic Self-Aggregation Network for Satellite Image Time Series Classification"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8162-9422","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2488-2656","authenticated-orcid":false,"given":"Peijun","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pingjie","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4145-6007","authenticated-orcid":false,"given":"Pengfei","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1284-285X","authenticated-orcid":false,"given":"Hongrui","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5918-7100","authenticated-orcid":false,"given":"Yaping","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5881-618X","authenticated-orcid":false,"given":"Erzhu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.02.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.09.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.11.032"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.12.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2014.02.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/07038992.2014.987376"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2020.110167"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhazmat.2020.123288"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3040153"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.03.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2981671"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2294956"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.03.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs10050691"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2010.08.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.10.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S2095-3119(15)61321-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s41651-020-00048-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2711275"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7040129"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2912468"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2863224"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01234"},{"key":"ref28","article-title":"Gating revisited: Deep multi-layer RNNs that can be trained","author":"Ozgur Turkoglu","year":"2019","journal-title":"arXiv:1911.11033"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.111946"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050523"},{"key":"ref31","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv:1803.01271"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010075"},{"key":"ref33","article-title":"Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery","author":"Ru\u00dfwurm","year":"2018","journal-title":"arXiv:1811.02471"},{"key":"ref34","first-page":"6247","article-title":"Temporal convolutional neural network for the classification of satellite image time series","volume-title":"Proc. IEEE Int. Geosci. Remote Sens. Symp.","author":"Garnot"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.01.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65742-0_12"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3036602"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"ref39","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.01.007"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2918080"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994057"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462492"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref48","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Statist. (AISTATS)","author":"Glorot"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref50","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref51","article-title":"Pay less attention with lightweight and dynamic convolutions","author":"Wu","year":"2019","journal-title":"arXiv:1901.10430"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2015-297"},{"key":"ref54","article-title":"MUSE: Parallel multi-scale attention for sequence to sequence learning","author":"Zhao","year":"2019","journal-title":"arXiv:1911.09483"},{"key":"ref55","first-page":"933","article-title":"Language modeling with gated convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dauphin"},{"key":"ref56","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wan"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s13398-014-0173-7.2"},{"key":"ref58","first-page":"2488","article-title":"How does batch normalization help optimization?","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Santurkar"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280578"},{"key":"ref60","article-title":"Layer normalization","author":"Lei Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/s0893-6080(00)00026-5"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref66","first-page":"1263","article-title":"Orfeo toolbox: A complete solution for mapping from high resolution satellite images","volume":"37","author":"Christophe","year":"2008","journal-title":"Int. Arch. Photogramm., Remote Sens. Spatial Inf. Sci."},{"key":"ref67","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2018.11.007"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLIII-B2-2020-1337-2020"},{"key":"ref70","first-page":"1","article-title":"BreizhCrops: A satellite time series dataset for crop type identification","volume-title":"Proc. Int. Conf. Mach. Learn. Time Ser. Workshop","author":"Ru\u00dfwurm"},{"key":"ref71","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref72","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3095505"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09576745.pdf?arnumber=9576745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:09:48Z","timestamp":1705014588000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9576745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3120914","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}