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Onboard image geo-referencing for LEO satellites

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.

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Bibliographic Details
Main Author: Van den Dool, Riaan
Other Authors: Mostert, S.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Van den Dool, Riaan
author2 Mostert, S.
author_browse Mostert, S.
Van den Dool, Riaan
author_facet Mostert, S.
Van den Dool, Riaan
author_sort Van den Dool, Riaan
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
format Thesis
id oai:scholar.sun.ac.za:10019.1/3095
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:45:33.890Z
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:10019.1/3095 Onboard image geo-referencing for LEO satellites Van den Dool, Riaan Mostert, S. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Dissertations -- Electrical and electronic engineering Theses -- Electrical and electronic engineering Image processing -- Digital techniques Remote-sensing images Artificial satellites Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. The next generation of small satellites will require significant onboard data processing and information extraction capabilities to keep up with industry demands. The need for value added information products is growing as accessibility and user education is improving. Image geo-referencing is one of the image processing steps needed to transform raw images into usable information. Automating this process would result in a vast improvement in processing time and cost. As part of the background study, the imaging process is described and a model of the process is created. The sources of distortion that are present in the imaging process are described and techniques to compensate for them are discussed. One method that stands out is using wavelet analysis for the precision geo- referencing of images. Wavelets are used in this thesis for automatic ground control point identification. Finally, the automatic ground control point algorithm is used for band-alignment of a set of aerial images at sub pixel accuracy as a demonstration of the quality of ground control points that can be found. 2008-08-05T08:17:48Z 2010-06-01T09:06:08Z 2008-08-05T08:17:48Z 2010-06-01T09:06:08Z 2005-12 Thesis http://hdl.handle.net/10019.1/3095 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Dissertations -- Electrical and electronic engineering
Theses -- Electrical and electronic engineering
Image processing -- Digital techniques
Remote-sensing images
Artificial satellites
Van den Dool, Riaan
Onboard image geo-referencing for LEO satellites
title Onboard image geo-referencing for LEO satellites
title_full Onboard image geo-referencing for LEO satellites
title_fullStr Onboard image geo-referencing for LEO satellites
title_full_unstemmed Onboard image geo-referencing for LEO satellites
title_short Onboard image geo-referencing for LEO satellites
title_sort onboard image geo referencing for leo satellites
topic Dissertations -- Electrical and electronic engineering
Theses -- Electrical and electronic engineering
Image processing -- Digital techniques
Remote-sensing images
Artificial satellites
url http://hdl.handle.net/10019.1/3095
work_keys_str_mv AT vandendoolriaan onboardimagegeoreferencingforleosatellites