Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98736
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dc.contributor.authorChen, Shoushunen
dc.contributor.authorPham, Minh Ducen
dc.contributor.authorLow, Kay-Soonen
dc.date.accessioned2013-11-08T02:45:28Zen
dc.date.accessioned2019-12-06T19:59:03Z-
dc.date.available2013-11-08T02:45:28Zen
dc.date.available2019-12-06T19:59:03Z-
dc.date.copyright2013en
dc.date.issued2013en
dc.identifier.citationPham, M. D., Low, K.-S., & Chen, S. (2013). An autonomous star recognition algorithm with optimized database. IEEE transactions on aerospace and electronic systems, 49(3), 1467-1475.en
dc.identifier.issn0018-9251en
dc.identifier.urihttps://hdl.handle.net/10356/98736-
dc.description.abstractA novel star pattern recognition algorithm is presented for satellite attitude determination in the "lost in space" mode. The proposed method improves the speed in searching a large star catalogue by arranging it using a search tree data structure. The algorithm also processes the star image at grid level instead of pixel level to further improve the processing time. The experimental results show that the proposed approach significantly reduces the average run-time by 50% as compared with the conventional methods while still achieving slightly better star recognition accuracy at 95.07%.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE transactions on aerospace and electronic systemsen
dc.rights© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TAES.2013.6557999].en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleAn autonomous star recognition algorithm with optimized databaseen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1109/TAES.2013.6557999en
dc.description.versionAccepted versionen
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Appears in Collections:EEE Journal Articles
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