{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T23:55:54Z","timestamp":1772236554826,"version":"3.50.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11042-023-14791-6","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T08:03:55Z","timestamp":1679299435000},"page":"31557-31573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SR-net: satellite relative pose estimation network for a noncooperative target via RGB images"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7250-0376","authenticated-orcid":false,"given":"Di","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhisheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruijing","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"14791_CR1","doi-asserted-by":"publisher","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Li FF (2009) in: Imagenet: a large-scale hierarchical image database. In: IEEE conference on computer vision and pattern recognition, IEEE, CVPR 2009, 2009, pp. 248\u2013255. https:\/\/doi.org\/10.1109\/CVPR.2009.5206848","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"14791_CR2","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1016\/S1000-9361(11)60095-2","volume":"24","author":"M Ding","year":"2011","unstructured":"Ding M, Wei L, Wang BF (2011) Vision-based estimation of relative pose in autonomous aerial refueling. Chin J Aeronaut 24:807\u2013815. https:\/\/doi.org\/10.1016\/S1000-9361(11)60095-2","journal-title":"Chin J Aeronaut"},{"key":"14791_CR3","doi-asserted-by":"publisher","unstructured":"He KM, Zhang XY, Ren SQ, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, CVPR 770\u2013778. https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"14791_CR4","doi-asserted-by":"publisher","unstructured":"Kingma DP, Ba J (2014) Adam: A method for stochastic optimization. In: 3rd International Conference on LearningRepresentations, ICLR 2015 - Conference Track Proceedings. https:\/\/doi.org\/10.48550\/arXiv.1412.6980","DOI":"10.48550\/arXiv.1412.6980"},{"key":"14791_CR5","doi-asserted-by":"publisher","first-page":"4083","DOI":"10.1109\/TAES.2020.2989063","volume":"56","author":"M Kisantal","year":"2020","unstructured":"Kisantal M, Sharma S, Park TH, Izzo D, M\u00e4rtens M, D\u2019Amico S (2020) Satellite pose estimation challenge: dataset, competition design, and results. IEEE T Aero Elec Sys 56:4083\u20134098. https:\/\/doi.org\/10.1109\/TAES.2020.2989063","journal-title":"IEEE T Aero Elec Sys"},{"key":"14791_CR6","doi-asserted-by":"publisher","first-page":"2731","DOI":"10.1587\/transfun.E96.A.2731","volume":"96","author":"X Liao","year":"2013","unstructured":"Liao X, Wen QY, Zhang J (2013) Improving the adaptive steganographic methods based on modulus function. IEICE T Fund Electr 96:2731\u20132734. https:\/\/doi.org\/10.1587\/transfun.E96.A.2731","journal-title":"IEICE T Fund Electr"},{"key":"14791_CR7","doi-asserted-by":"publisher","first-page":"5756","DOI":"10.1002\/sec.1734","volume":"9","author":"X Liao","year":"2016","unstructured":"Liao X, Chen GY, Yin JJ (2016) Content-adaptive steganalysis for color images. Secur Commun Netw 9:5756\u20135763. https:\/\/doi.org\/10.1002\/sec.1734","journal-title":"Secur Commun Netw"},{"key":"14791_CR8","doi-asserted-by":"publisher","first-page":"103244","DOI":"10.1016\/j.jvcir.2021.103244","volume":"79","author":"X Liao","year":"2021","unstructured":"Liao X, Peng J, Cao Y (2021) GIFMarking: the robust watermarking for animated GIF based deep learning. J Vis Commun Image R 79:103244. https:\/\/doi.org\/10.1016\/j.jvcir.2021.103244","journal-title":"J Vis Commun Image R"},{"key":"14791_CR9","doi-asserted-by":"publisher","unstructured":"Lin TY, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: common objects in context. In: European conference on computer vision, Springer, ECCV 2014, 2014, pp. 740\u2013755. https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"14791_CR10","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/RCAR.2016.7784029","volume":"2016","author":"Y Liu","year":"2016","unstructured":"Liu Y, Xie ZW, Wang B, Liu H (2016) Pose measurement of a non-cooperative spacecraft based on circular features. In: IEEE international conference on real-time computing and robotics, RCAR 2016. IEEE 2016:221\u2013226. https:\/\/doi.org\/10.1109\/RCAR.2016.7784029","journal-title":"IEEE"},{"key":"14791_CR11","doi-asserted-by":"publisher","first-page":"1494","DOI":"10.1016\/j.cja.2019.08.024","volume":"33","author":"Y Liu","year":"2020","unstructured":"Liu Y, Xie ZW, Liu H (2020) Three-line structured light vision system for non-cooperative satellites in proximity operations. Chin J Aeronaut 33:1494\u20131504. https:\/\/doi.org\/10.1016\/j.cja.2019.08.024","journal-title":"Chin J Aeronaut"},{"key":"14791_CR12","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.2514\/1.28949","volume":"30","author":"FL Markley","year":"2007","unstructured":"Markley FL, Cheng Y, Crassidis JL, Oshman Y (2007) Averaging quaternions. J Guid Control Dyn 30:1193\u20131197. https:\/\/doi.org\/10.2514\/1.28949","journal-title":"J Guid Control Dyn"},{"key":"14791_CR13","doi-asserted-by":"publisher","unstructured":"Park TH, Sharma S, D'Amico S (2019) Towards robust learning-based pose estimation of noncooperative spacecraft. In: AAS\/AIAA Astrodynamics Specialist Conference, vol 171. p 3667\u20133686.\u00a0https:\/\/doi.org\/10.48550\/arXiv.1909.00392","DOI":"10.48550\/arXiv.1909.00392"},{"key":"14791_CR14","first-page":"8026","volume":"32","author":"A Paszke","year":"2019","unstructured":"Paszke A, Gross S, Massa F et al (2019) Pytorch: an imperative style, high-performance deep learning library. Adv Neural Inf Proces Syst 32:8026\u20138037","journal-title":"Adv Neural Inf Proces Syst"},{"issue":"9","key":"14791_CR15","doi-asserted-by":"publisher","first-page":"126","DOI":"10.3390\/aerospace7090126","volume":"7","author":"T Phisannupawong","year":"2020","unstructured":"Phisannupawong T, Kamsing P, Torteeka P, Channumsin S, Sawangwit U, Hematulin W, Jarawan T, Somjit T, Yooyen S, Delahaye D, Boonsrimuang P (2020) Vision-based spacecraft pose estimation via a deep convolutional neural network for noncooperative docking operations. Aerospace-Basel. 7(9):126. https:\/\/doi.org\/10.3390\/aerospace7090126","journal-title":"Aerospace-Basel."},{"key":"14791_CR16","doi-asserted-by":"publisher","unstructured":"Proen\u00e7a PF, Gao Y (2020) Deep learning for spacecraft pose estimation from photorealistic rendering. In: IEEE International Conference on Robotics and Automation, ICRA 2020, 2020, pp. 6007\u20136013. https:\/\/doi.org\/10.1109\/ICRA40945.2020.9197244","DOI":"10.1109\/ICRA40945.2020.9197244"},{"key":"14791_CR17","first-page":"91","volume":"28","author":"SQ Ren","year":"2015","unstructured":"Ren SQ, He KM, Girshick R, Sun J (2015) Faster r-cnn: towards real-time object detection with region proposal networks. Adv Neural Inf Proces Syst 28:91\u201399","journal-title":"Adv Neural Inf Proces Syst"},{"key":"14791_CR18","doi-asserted-by":"publisher","first-page":"4638","DOI":"10.1109\/TAES.2020.2999148","volume":"56","author":"S Sharma","year":"2020","unstructured":"Sharma S, D\u2019Amico S (2020) Neural network-based pose estimation for noncooperative spacecraft rendezvous. IEEE T Aero Elec Sys 56:4638\u20134658. https:\/\/doi.org\/10.1109\/TAES.2020.2999148","journal-title":"IEEE T Aero Elec Sys"},{"key":"14791_CR19","unstructured":"Ventura J (2016) Autonomous proximity operations for noncooperative space targets. Dissertation, Technische Universit\u00e4t M\u00fcnchen"},{"key":"14791_CR20","doi-asserted-by":"publisher","unstructured":"Wang G, Manhardt F, Tombari F, Ji XY (2021) GDR-net: geometry-guided direct regression network for monocular 6D object pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, 2021, pp. 16611\u201316621. https:\/\/doi.org\/10.1109\/CVPR46437.2021.01634","DOI":"10.1109\/CVPR46437.2021.01634"},{"key":"14791_CR21","doi-asserted-by":"publisher","unstructured":"Xiang Y, Schmidt T, Narayanan V, Fox D (2018) PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes. In: Robotics: Science and Systems, RSS 2018. https:\/\/doi.org\/10.15607\/RSS.2018.XIV.019","DOI":"10.15607\/RSS.2018.XIV.019"},{"key":"14791_CR22","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.asr.2011.02.012","volume":"48","author":"WF Xu","year":"2011","unstructured":"Xu WF, Liang B, Li B, Xu YS (2011) A universal on-orbit servicing system used in the geostationary orbit. Adv Space Res 48:95\u2013119. https:\/\/doi.org\/10.1016\/j.asr.2011.02.012","journal-title":"Adv Space Res"},{"key":"14791_CR23","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"LC Yann","year":"2015","unstructured":"Yann LC, Yoshua B, Geoffrey H (2015) Deep learning. Nature 521:436\u2013444. https:\/\/doi.org\/10.1038\/nature14539","journal-title":"Nature"},{"key":"14791_CR24","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1016\/j.cja.2014.03.021","volume":"27","author":"HP Zhang","year":"2014","unstructured":"Zhang HP, Jiang ZG (2014) Multi-view space object recognition and pose estimation based on kernel regression. Chin J Aeronaut 27:1233\u20131241. https:\/\/doi.org\/10.1016\/j.cja.2014.03.021","journal-title":"Chin J Aeronaut"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14791-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-14791-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14791-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T13:56:57Z","timestamp":1690379817000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-14791-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,20]]},"references-count":24,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["14791"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-14791-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,20]]},"assertion":[{"value":"2 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 August 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}