{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:48:35Z","timestamp":1762325315372,"version":"3.37.3"},"reference-count":29,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3175871","type":"journal-article","created":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T20:25:19Z","timestamp":1652991919000},"page":"54235-54244","source":"Crossref","is-referenced-by-count":5,"title":["Pose Detection of Aerial Image Object Based on Constrained Neural Network"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3736-5196","authenticated-orcid":false,"given":"Hongyun","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9052-1114","authenticated-orcid":false,"given":"Jin","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]},{"given":"Yongjian","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00469"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11957959_4"},{"key":"ref3","article-title":"Deep-6DPose: Recovering 6D object pose from a single RGB image","author":"Do","year":"2018","journal-title":"arXiv:1802.10367"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37331-2_42"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_51"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.336"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.694"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.73"},{"key":"ref9","article-title":"Siamese regression networks with efficient mid-level feature extraction for 3D object pose estimation","author":"Doumanoglou","year":"2016","journal-title":"arXiv:1607.02257"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.169"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.413"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00038"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-6398-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2012.10.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0031048"},{"key":"ref18","article-title":"Siamese regression networks with efficient mid-level feature extraction for 3D object pose estimation","author":"Doumanoglou","year":"2016","journal-title":"arXiv:1607.02257"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s21092939"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00511"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00281"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2974745"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16426"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00619"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09779132.pdf?arnumber=9779132","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:12:30Z","timestamp":1705961550000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9779132\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3175871","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}