{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:05:09Z","timestamp":1775837109008,"version":"3.50.1"},"reference-count":71,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shanghai Industrial Collaborative Innovation Project Foundation","award":["XTCX-KJ-2023-2-18"],"award-info":[{"award-number":["XTCX-KJ-2023-2-18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3560928","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T13:37:06Z","timestamp":1744724226000},"page":"1-13","source":"Crossref","is-referenced-by-count":26,"title":["OWRT-DETR: A Novel Real-Time Transformer Network for Small-Object Detection in Open-Water Search and Rescue From UAV Aerial Imagery"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0218-4386","authenticated-orcid":false,"given":"Shuai","family":"Ma","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1261-1661","authenticated-orcid":false,"given":"Yihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Ling","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Chen","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Baolong","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Yongdong","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.117950"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2023.116403"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107612"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1257\/pol.20220014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2974047"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICUAS.2015.7152409"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117857"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3384570"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2905881"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12143201"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3363057"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref14","first-page":"133","article-title":"A two-stage approach to people and vehicle detection with HOG-based SVM","volume-title":"Proc. Performance Metrics Intelligent Syst. Workshop","author":"Han"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2906132"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref22","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021","journal-title":"arXiv:2107.08430"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref26","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20158"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01325"},{"key":"ref29","article-title":"DAB-DETR: Dynamic anchor boxes are better queries for DETR","author":"Liu","year":"2022","journal-title":"arXiv:2201.12329"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs13071311"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3290480"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW58289.2023.00029"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3395483"},{"key":"ref34","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","author":"Zhang","year":"2022","journal-title":"arXiv:2203.03605"},{"key":"ref35","article-title":"Efficient DETR: Improving end-to-end object detector with dense prior","author":"Yao","year":"2021","journal-title":"arXiv:2104.01318"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00610"},{"key":"ref37","article-title":"Rank-DETR for high quality object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Pu"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00929"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00720"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref42","article-title":"Learning spatial fusion for single-shot object detection","author":"Liu","year":"2019","journal-title":"arXiv:1911.09516"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00014"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.34133\/2021\/9805389"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref51","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00539"},{"key":"ref53","article-title":"Retentive network: A successor to transformer for large language models","author":"Sun","year":"2023","journal-title":"arXiv:2307.08621"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02247-9"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00374"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3233\/ica-210649"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ADICS58448.2024.10533619"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"ref65","article-title":"YOLOv10: Real-time end-to-end object detection","author":"Wang","year":"2024","journal-title":"arXiv:2405.14458"},{"key":"ref66","volume-title":"Ultralytics YOLO11","author":"Jocher","year":"2024"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00363"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01887"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00614"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/10965796.pdf?arnumber=10965796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T13:03:11Z","timestamp":1746536591000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10965796\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":71,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3560928","relation":{"has-review":[{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v2\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v1\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v1\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v2\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v2\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v1\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1109\/TGRS.2025.3560928\/v2\/response1","asserted-by":"object"}]},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}