Design and implementation of a parallel registration algorithm for SAR images

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dc.contributor.advisorInggs, Michaelen_ZA
dc.contributor.advisorWilkinson, Andrew Johnen_ZA
dc.contributor.authorFadiran, Oladipo Oen_ZA
dc.date.accessioned2014-12-28T20:04:37Z
dc.date.available2014-12-28T20:04:37Z
dc.date.issued2001en_ZA
dc.descriptionBibliography: leaves 58-62.en_ZA
dc.description.abstractRegistration of two or more images of the same scene is an important step in image processing that seeks to extract information not obtainable from one of the images in question. This process is required in many Engineering, Scientific and Medical applications. The accuracy of this step is crucial to the reliability of subsequent image processing and or decisions made on its basis. The huge size of the date to be processed, the speed at which the processing is required and the accuracy requirements necessitates a quick, efficient, robust and in some respects automatic program which efficiently harnesses available computing resources. This is the object of this project - the design of an image registration algorithm with a bias for SAR/InSAR applications but also applicable for other registration purposes, implemented on a parallel cluster of computing nodes.en_ZA
dc.identifier.apacitationFadiran, O. O. (2001). <i>Design and implementation of a parallel registration algorithm for SAR images</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/10433en_ZA
dc.identifier.chicagocitationFadiran, Oladipo O. <i>"Design and implementation of a parallel registration algorithm for SAR images."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2001. http://hdl.handle.net/11427/10433en_ZA
dc.identifier.citationFadiran, O. 2001. Design and implementation of a parallel registration algorithm for SAR images. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Fadiran, Oladipo O AB - Registration of two or more images of the same scene is an important step in image processing that seeks to extract information not obtainable from one of the images in question. This process is required in many Engineering, Scientific and Medical applications. The accuracy of this step is crucial to the reliability of subsequent image processing and or decisions made on its basis. The huge size of the date to be processed, the speed at which the processing is required and the accuracy requirements necessitates a quick, efficient, robust and in some respects automatic program which efficiently harnesses available computing resources. This is the object of this project - the design of an image registration algorithm with a bias for SAR/InSAR applications but also applicable for other registration purposes, implemented on a parallel cluster of computing nodes. DA - 2001 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2001 T1 - Design and implementation of a parallel registration algorithm for SAR images TI - Design and implementation of a parallel registration algorithm for SAR images UR - http://hdl.handle.net/11427/10433 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10433
dc.identifier.vancouvercitationFadiran OO. Design and implementation of a parallel registration algorithm for SAR images. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2001 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10433en_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 and Electronic Engineeringen_ZA
dc.titleDesign and implementation of a parallel registration algorithm for SAR imagesen_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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