An autonomous star recognition algorithm with optimized database
A 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 ima...
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sg-ntu-dr.10356-987362020-03-07T14:02:40Z An autonomous star recognition algorithm with optimized database Chen, Shoushun Pham, Minh Duc Low, Kay-Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering A 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%. Accepted version 2013-11-08T02:45:28Z 2019-12-06T19:59:03Z 2013-11-08T02:45:28Z 2019-12-06T19:59:03Z 2013 2013 Journal Article Pham, 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. 0018-9251 https://hdl.handle.net/10356/98736 http://hdl.handle.net/10220/17428 10.1109/TAES.2013.6557999 en IEEE transactions on aerospace and electronic systems © 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]. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Chen, Shoushun Pham, Minh Duc Low, Kay-Soon An autonomous star recognition algorithm with optimized database |
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A 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%. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Chen, Shoushun Pham, Minh Duc Low, Kay-Soon |
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Article |
author |
Chen, Shoushun Pham, Minh Duc Low, Kay-Soon |
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Chen, Shoushun |
title |
An autonomous star recognition algorithm with optimized database |
title_short |
An autonomous star recognition algorithm with optimized database |
title_full |
An autonomous star recognition algorithm with optimized database |
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An autonomous star recognition algorithm with optimized database |
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An autonomous star recognition algorithm with optimized database |
title_sort |
autonomous star recognition algorithm with optimized database |
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2013 |
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https://hdl.handle.net/10356/98736 http://hdl.handle.net/10220/17428 |
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