{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T03:23:50Z","timestamp":1784258630118,"version":"3.55.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tnnls.2024.3349515","type":"journal-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:43:27Z","timestamp":1705949007000},"page":"3384-3395","source":"Crossref","is-referenced-by-count":1,"title":["LR Aerial Photo Categorization by Cross-Resolution Perceptual Knowledge Propagation"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8425-7871","authenticated-orcid":false,"given":"Yi","family":"Li","sequence":"first","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0145-2610","authenticated-orcid":false,"given":"Luming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hithink RoyalFlush Information Network Company Ltd., Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Shao","sequence":"additional","affiliation":[{"name":"Hithink RoyalFlush Information Network Company Ltd., Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1167\/19.10.133b"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01331-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299088"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0306-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00415"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.04.014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3026587"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00571"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2023.3238420"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3177255"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3175520"},{"key":"ref15","first-page":"1","article-title":"Exploiting multi-layer features using a CNN-RNN approach for RGB-D object recognition","volume-title":"Proc. ECCV Workshops","author":"Caglayan"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12610-4_13"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2969809"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00077"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS39084.2020.9324069"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JURSE.2019.8808940"},{"key":"ref21","article-title":"Satellite image classification with deep learning","author":"Pritt","year":"2020","journal-title":"arXiv:2010.06497"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00085"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2896411"},{"issue":"1","key":"ref24","first-page":"1393","article-title":"Feature selection via dependence maximization","volume":"13","author":"Song","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","first-page":"751","article-title":"From transformation-based dimensionality reduction to feature selection","volume-title":"Proc. ICML","author":"Masaeli"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00537"},{"key":"ref27","first-page":"1","article-title":"Kernel feature selection via conditional covariance minimization","volume-title":"Proc. NIPS","author":"Chen"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3089332"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3104846"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105184"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105196"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3029181"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.68"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016820"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.613"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00532"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00061"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2004.1394114"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/17\/1\/012183"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01621"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.4171\/owr\/2005\/03"},{"key":"ref43","first-page":"1","article-title":"Object bank: A high-level image representation for scene classification and semantic feature sparsification","volume-title":"Proc. NIPS","author":"Li"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108548"},{"key":"ref47","first-page":"1","article-title":"DeepWind: Weakly supervised localization of wind turbines in satellite imagery","volume-title":"Proc. CVPR","author":"Zhou"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.10.033"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149052"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030516"},{"key":"ref51","article-title":"Learning resolution-adaptive representations for cross-resolution person re-identification","author":"Wu","year":"2022","journal-title":"arXiv:2207.13037"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3151631"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10877690\/10411503.pdf?arnumber=10411503","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T06:25:53Z","timestamp":1738909553000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10411503\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":52,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2024.3349515","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}