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A Bore-sight Motion Detection Algorithm for Satellite Attitude Control

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.

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Main Author: Visagie, Lourens
Other Authors: Steyn, W. H.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Visagie, Lourens
author2 Steyn, W. H.
author_browse Steyn, W. H.
Visagie, Lourens
author_facet Steyn, W. H.
Visagie, Lourens
author_sort Visagie, Lourens
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2910
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:40:56.191Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/2910 A Bore-sight Motion Detection Algorithm for Satellite Attitude Control Visagie, Lourens Steyn, W. H. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Theses -- Electrical and electronic engineering Dissertations -- Electrical and electronic engineering Artificial satellites -- Attitude control systems Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007. During an imaging pass of a remote sensing satellite, the satellite’s attitude has to be controlled so that the imager bore-sight sweeps out equal distances over time and so that images with a square aspect ratio are produced. The satellite attitude control system uses forward motion compensation (FMC) and time delay and integration (TDI) techniques to increase the quality of images. The motion of the scene relative to the satellite camera can be described by a two dimensional translation motion and a rotation about the camera bore-sight. This thesis describes an algorithm for measuring ground motion from viewfinder video data that can aid the satellite control system during imaging missions. The algorithm makes use of existing motion-from-video techniques – it operates in a hierarchical, feature-tracking framework. Features are identified on camera frames, and correspondences on consecutive frames are found by the Lucas and Kanade algorithm. A pyramidal image representation enables the estimation of large motions. The resultant sparse disparity map is used to estimate the three motion parameters, using a least squares fit to the projected motion equations. The algorithm was developed and implemented as part of the MSMI project. Results of tests carried out on simulated satellite viewfinder data (using the Matrix Sensor camera that was also developed for the MSMI project) confirms that the requirements are met. 2008-04-15T07:41:53Z 2010-06-01T09:01:22Z 2008-04-15T07:41:53Z 2010-06-01T09:01:22Z 2007-12 Thesis http://hdl.handle.net/10019.1/2910 en University of Stellenbosch 2877003 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Theses -- Electrical and electronic engineering
Dissertations -- Electrical and electronic engineering
Artificial satellites -- Attitude control systems
Visagie, Lourens
A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title_full A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title_fullStr A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title_full_unstemmed A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title_short A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
title_sort bore sight motion detection algorithm for satellite attitude control
topic Theses -- Electrical and electronic engineering
Dissertations -- Electrical and electronic engineering
Artificial satellites -- Attitude control systems
url http://hdl.handle.net/10019.1/2910
work_keys_str_mv AT visagielourens aboresightmotiondetectionalgorithmforsatelliteattitudecontrol
AT visagielourens boresightmotiondetectionalgorithmforsatelliteattitudecontrol