{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:48:57Z","timestamp":1777556937560,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"MCIN\/AEI","award":["TED2021-132099B-C31"],"award-info":[{"award-number":["TED2021-132099B-C31"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3374454","type":"journal-article","created":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T19:17:09Z","timestamp":1709839029000},"page":"1-11","source":"Crossref","is-referenced-by-count":4,"title":["Applying Machine Learning Techniques for Optical Relative Navigation in Planetary Missions"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1081-6671","authenticated-orcid":false,"given":"Alfredo","family":"Escalante Lopez","sequence":"first","affiliation":[{"name":"Department of Aerospace Engineering, University Carlos III of Madrid, Legan&#x00E9;s, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1403-6082","authenticated-orcid":false,"given":"Pablo","family":"Ghiglino","sequence":"additional","affiliation":[{"name":"Klepsydra Technologies AG, Z&#x00FC;rich, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9397-0054","authenticated-orcid":false,"given":"Manuel","family":"Sanjurjo-Rivo","sequence":"additional","affiliation":[{"name":"Department of Aerospace Engineering, University Carlos III of Madrid, Legan&#x00E9;s, Spain"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-6943-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.86.6.333"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-2483"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2514\/6.2022-4382"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-2490"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2514\/6.2018-2730"},{"key":"ref7","volume-title":"OPS-SAT Status Update and TLE","author":"Mladenov","year":"2020"},{"key":"ref8","first-page":"1","article-title":"Rosetta navigation from reactivation until arrival at comet 67P\/Churyumov-Gerasimenko","volume-title":"Proc. 26th Int. Symp. Space Flight Dyn. (ISSFD)","author":"Morley"},{"key":"ref9","first-page":"1","article-title":"Optical measurements for Rosetta mission near the comet","volume-title":"Proc. 25th Int. Symp. Space Flight Dyn. (ISSFD)","author":"Santayana"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3182\/20100906-5-JP-2022.00045"},{"key":"ref11","first-page":"0225","article-title":"Image-based autonomous navigation of Hayabusa2 using artificial landmarks: Design and in-flight results in landing operations on asteroid Ryugu","volume-title":"Proc. AIAA Scitech Forum","author":"Naoko"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2017.7943684"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2018.8396469"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3198745"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-023-00772-x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.icarus.2021.114701"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs15123009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs12162636"},{"key":"ref19","article-title":"In space image processing using AI embedded on system on module: Example of OPS-SAT cloud segmentation","volume-title":"Proc. 2nd Eur. Workshop On-Board Data Process.","author":"Feresin"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s42496-022-00139-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2022.04.020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1001\/jama.284.15.1980"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00233"},{"key":"ref24","volume-title":"Blender\u2014A 3D Modeling and Rendering Package","year":"2018"},{"key":"ref25","volume-title":"Physically Based Rendering: From Theory To Implementation","author":"Pharr","year":"2016"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.rse.2019.02.015","article-title":"Landsat\u2014Continuity and change: Improved observations over 45 years","volume":"225","author":"Wulder","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1029\/EO081i048p00583"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.05.028"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.026"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.07.024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.11648\/j.ajrs.20180602.14"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.06.031"},{"key":"ref33","volume-title":"Sentinel-2 User Handbook","year":"2015"},{"key":"ref34","volume-title":"The Shuttle Radar Topography Mission (SRTM) Collection User Guide","year":"2015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/0032-0633(95)00107-7"},{"key":"ref36","first-page":"1","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","volume-title":"Proc. 12th USENIX Conf. Operating Syst. Des. Implement.","author":"Abadi"},{"key":"ref37","first-page":"1","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref38","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref39","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv:1512.03385"},{"key":"ref40","volume-title":"Deep Learning. Adaptive Computation and Machine Learning Series","author":"Goodfellow","year":"2016"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198538493.001.0001"},{"key":"ref43","article-title":"B-CNN: Branch convolutional neural network for hierarchical classification","author":"Zhu","year":"2017","journal-title":"arXiv:1709.09890"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3016837"},{"key":"ref45","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref46","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref47","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019","journal-title":"arXiv:1905.11946"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/s21092984"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10462146.pdf?arnumber=10462146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T21:19:34Z","timestamp":1711487974000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10462146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3374454","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}