{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:28:06Z","timestamp":1784737686684,"version":"3.55.0"},"reference-count":73,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271172"],"award-info":[{"award-number":["62271172"]}],"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":[[2025]]},"DOI":"10.1109\/tgrs.2025.3613170","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T17:44:34Z","timestamp":1758563074000},"page":"1-16","source":"Crossref","is-referenced-by-count":4,"title":["Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6949-6556","authenticated-orcid":false,"given":"Jiang","family":"Qin","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6135-3174","authenticated-orcid":false,"given":"Bin","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1728-6714","authenticated-orcid":false,"given":"Haolin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3595-0001","authenticated-orcid":false,"given":"Lamei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2013.2248301"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2024.2416899"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3249349"},{"issue":"4","key":"ref4","first-page":"906","article-title":"SAR-AIRcraft-1.0: High-resolution SAR aircraft detection and recognition dataset","volume":"12","author":"Zhirui","year":"2023","journal-title":"J. Radars"},{"key":"ref5","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref6","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"32nd Int. Conf. Mach. Learn. (ICML)","author":"Ganin"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3303507"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3227626"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3515161"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3559618"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3089238"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.05.009"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3160727"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3201628"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00889"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00619"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2867242"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3139605"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3552937"},{"key":"ref20","first-page":"3179","article-title":"Evidential deep learning to quantify classification uncertainty","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"\u015eensoy"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3361978"},{"key":"ref22","first-page":"13153","article-title":"A simple baseline for Bayesian uncertainty in deep learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Maddox"},{"key":"ref23","first-page":"1050","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gal"},{"key":"ref24","first-page":"6402","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lakshminarayanan"},{"key":"ref25","first-page":"41753","article-title":"Provable dynamic fusion for low-quality multimodal data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01087"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2025.3557682"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120286"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref31","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01422"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3264231"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3324355"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3250507"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2024.3373379"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3521971"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2923988"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3327167"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs14122832"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111481"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3213804"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2959120"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2024.3507786"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3438560"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00057"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3491826"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00408"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01565"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02282"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111312"},{"key":"ref54","article-title":"Free-lunch color-texture disentanglement for stylized image generation","author":"Qin","year":"2025","journal-title":"arXiv:2503.14275"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00848"},{"key":"ref57","article-title":"CrowdVLM-r1: Expanding R1 ability to vision language model for crowd counting using fuzzy group relative policy reward","author":"Wang","year":"2025","journal-title":"arXiv:2504.03724"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3506566"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3185298"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3419025"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/rs15133326"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref64","first-page":"2292","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Cuturi"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2013.10.011"},{"issue":"11","key":"ref66","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00352"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3169339"},{"key":"ref69","volume-title":"FARADSAR Public Release Data"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01237"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3557171"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01128"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11175444.pdf?arnumber=11175444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T05:57:28Z","timestamp":1762235848000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11175444\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3613170","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}