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dc.contributor.advisorLeuschen, Carl
dc.contributor.advisorPaden, John
dc.contributor.authorBerger Pereira da Silva, Victor Luiz
dc.date.accessioned2019-10-15T16:42:01Z
dc.date.available2019-10-15T16:42:01Z
dc.date.issued2019-05-31
dc.date.submitted2019
dc.identifier.otherhttp://dissertations.umi.com/ku:16636
dc.identifier.urihttp://hdl.handle.net/1808/29632
dc.description.abstractWe present improvements to existing frameworks for automated extraction of ice interfaces applied to two-dimensional and three-dimensional radar echograms of polar ice sheets. These improvements consist of novel image pre-processing steps and empirically-derived cost functions that allow for the integration of further domain-specific knowledge into the models employed. Along with an explanation of our modifications, we demonstrate the results obtained by our proposed models and algorithms, such as a 43% decrease in mean tracking error in the case of three-dimensional imagery. We also present the results obtained by several state-of-the-art ice-interface tracking solutions, and compare all automated results with manually-corrected ground-truth data. Furthermore, we perform a self-assessment of tracking results by analyzing the differences found between the automatically extracted ice-layers in cases where two separate radar measurements have been made at the same location.
dc.format.extent121 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectComputer science
dc.subject
dc.titleProbabilistic graphical techniques for automated ice-bottom tracking and comparison between state-of-the-art solutions
dc.typeThesis
dc.contributor.cmtememberWang, Guanghui
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelM.S.
dc.identifier.orcidhttps://orcid.org/0000-0003-1233-430X
dc.rights.accessrightsopenAccess


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