Array-based GPR SAR simulation and image reconstruction

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dc.contributor.advisorWilkinson, Andrew Johnen_ZA
dc.contributor.authorDesai, Amresh Sen_ZA
dc.date.accessioned2014-09-10T12:26:08Z
dc.date.available2014-09-10T12:26:08Z
dc.date.issued2002en_ZA
dc.descriptionBibliography: leaves 53-55.en_ZA
dc.description.abstractSubsurface 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.en_ZA
dc.identifier.apacitationDesai, A. S. (2002). <i>Array-based GPR SAR simulation and image reconstruction</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/7397en_ZA
dc.identifier.chicagocitationDesai, Amresh S. <i>"Array-based GPR SAR simulation and image reconstruction."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2002. http://hdl.handle.net/11427/7397en_ZA
dc.identifier.citationDesai, A. 2002. Array-based GPR SAR simulation and image reconstruction. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Desai, Amresh S AB - 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. DA - 2002 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2002 T1 - Array-based GPR SAR simulation and image reconstruction TI - Array-based GPR SAR simulation and image reconstruction UR - http://hdl.handle.net/11427/7397 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/7397
dc.identifier.vancouvercitationDesai AS. Array-based GPR SAR simulation and image reconstruction. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2002 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/7397en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleArray-based GPR SAR simulation and image reconstructionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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