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Array-based GPR SAR simulation and image reconstruction

Bibliography: leaves 53-55.

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Bibliographic Details
Main Author: Desai, Amresh S
Other Authors: Wilkinson, Andrew John
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Desai, Amresh S
author2 Wilkinson, Andrew John
author_browse Desai, Amresh S
Wilkinson, Andrew John
author_facet Wilkinson, Andrew John
Desai, Amresh S
author_sort Desai, Amresh S
collection Thesis
description Bibliography: leaves 53-55.
format Thesis
id oai:open.uct.ac.za:11427/7397
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:43:58.035Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
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publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/7397 Array-based GPR SAR simulation and image reconstruction Desai, Amresh S Wilkinson, Andrew John Electrical Engineering Bibliography: leaves 53-55. Subsurface object detection has mainly been carried out using conventional ground penetrating radar (OPR) techniques, which use a single receiving antenna from which a number of range profiles (known as ""A Scope"" images) are assembled to form a two-dimensional data field (known as a ""B Scope"" image). These OPR systems have difficulties with high clutter level, surface reflections, limited ground penetration and the required fine resolution. The resolution in the across track and along track directions is limited by the physical aperture in these directions. This project aims at developing a SAR imaging technique, which uses a single transmitting/receiving antenna to synthesize a two-dimensional planar aperture. Thus a three-dimensional reflectivity image of a scene is generated. The resolution in the across track and along track directions is achieved via a SAR aperture synthesis technique. The depth/range resolution is achieved via the transmission of narrowband Stepped Frequency Continuous Wave (SFCW) signals. 2014-09-10T12:26:08Z 2014-09-10T12:26:08Z 2002 Master Thesis Masters MSc http://hdl.handle.net/11427/7397 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Desai, Amresh S
Array-based GPR SAR simulation and image reconstruction
thesis_degree_str Master's
title Array-based GPR SAR simulation and image reconstruction
title_full Array-based GPR SAR simulation and image reconstruction
title_fullStr Array-based GPR SAR simulation and image reconstruction
title_full_unstemmed Array-based GPR SAR simulation and image reconstruction
title_short Array-based GPR SAR simulation and image reconstruction
title_sort array based gpr sar simulation and image reconstruction
topic Electrical Engineering
url http://hdl.handle.net/11427/7397
work_keys_str_mv AT desaiamreshs arraybasedgprsarsimulationandimagereconstruction