{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:19:57Z","timestamp":1740133197994,"version":"3.37.3"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Project","award":["2017YFB1002803"],"award-info":[{"award-number":["2017YFB1002803"]}]},{"DOI":"10.13039\/501100001809","name":"NSF Project in China","doi-asserted-by":"publisher","award":["62072150"],"award-info":[{"award-number":["62072150"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3079820","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T20:00:57Z","timestamp":1621368057000},"page":"7803-7814","source":"Crossref","is-referenced-by-count":1,"title":["Semi-Supervised Perception Augmentation for Aerial Photo Topologies Understanding"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7187-6526","authenticated-orcid":false,"given":"Luming","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zhigeng","family":"Pan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8264-6117","authenticated-orcid":false,"given":"Ling","family":"Shao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref71","first-page":"1794","article-title":"Linear spatial pyramid matching using sparse coding for image classification","author":"yang","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.152"},{"key":"ref39","first-page":"169","article-title":"Ranking on data manifolds","author":"zhou","year":"2003","journal-title":"Proc NIPS"},{"key":"ref38","first-page":"353","article-title":"Translated learning: Transfer learning across different feature spaces","author":"dai","year":"2009","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12610-4_13"},{"key":"ref32","first-page":"675","article-title":"Exploiting multi-layer features using a CNN-RNN approach for RGB-D object recognition","author":"caglayan","year":"2018","journal-title":"Proc ECCV Workshops"},{"key":"ref31","first-page":"29143","article-title":"Locality sensitive discriminative analysis","author":"cai","year":"2005","journal-title":"Proc IJCAI"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007665907178"},{"key":"ref37","first-page":"1033","article-title":"The concave-convex procedure (CCCP)","author":"yuille","year":"2003","journal-title":"Proc NIPS"},{"key":"ref36","article-title":"Learning with augmented features for heterogeneous domain adaptation","author":"duan","year":"2012","journal-title":"Proc ICML"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2260168"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2295756"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_11"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.32"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539958"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2278465"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298699"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2872355"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639438"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref69","first-page":"580","article-title":"Learning deep features for scene recognition using places database","author":"zhou","year":"2014","journal-title":"Proc NIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/22797254.2017.1319252"},{"key":"ref1","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref20","first-page":"4576","article-title":"Joint inference of groups, events and human roles in aerial videos","author":"shu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref22","article-title":"Aerial image geolocalization from recognition and matching of roads and intersections","author":"costea","year":"2016","journal-title":"arXiv 1605 08323"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0306-1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00077"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00571"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00106"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654903"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref59","first-page":"3360","article-title":"Object bank: A high-level image representation for scene classification and semantic feature sparsification","author":"li","year":"2010","journal-title":"Proc NIPS"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"journal-title":"Graph Theory","year":"2005","author":"diestel","key":"ref57"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.110"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009988"},{"key":"ref54","first-page":"65","article-title":"A unified active and semi-supervised learning framework for image compression","author":"he","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref53","first-page":"689","article-title":"MatConvNet-convolutional neural networks for MATLAB","author":"vedaldi","year":"2015","journal-title":"Proc ACM MM"},{"key":"ref52","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000042934.15159.49"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/1687878.1687880"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540237"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2769799"},{"key":"ref14","first-page":"1687","article-title":"Large scale transductive SVMs","volume":"7","author":"collobert","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126445"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.10.033"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.167"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248050"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383049"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540060"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2820731"},{"key":"ref5","first-page":"488","article-title":"Efficient graphlet kernels for large graph comparison","author":"shervashidze","year":"2009","journal-title":"Proc ICAIS"},{"journal-title":"Graph Theory","year":"1936","author":"biggs","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.139"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451454"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-6993-y"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref45","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017","journal-title":"arXiv 1707 06347"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729193"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2174780"},{"key":"ref42","first-page":"1415","article-title":"Active learning based on local representation","author":"hu","year":"2013","journal-title":"Proc IJCAI"},{"key":"ref41","first-page":"1541","article-title":"Heterogeneous domain adaptation using manifold alignment","author":"wang","year":"2011","journal-title":"Proc IJCAI"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7195432"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref43"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09435071.pdf?arnumber=9435071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:04Z","timestamp":1652194204000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9435071\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":71,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3079820","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2021]]}}}