dc.contributor.advisor | Leuschen, Carl | |
dc.contributor.advisor | Paden, John | |
dc.contributor.author | Berger Pereira da Silva, Victor Luiz | |
dc.date.accessioned | 2019-10-15T16:42:01Z | |
dc.date.available | 2019-10-15T16:42:01Z | |
dc.date.issued | 2019-05-31 | |
dc.date.submitted | 2019 | |
dc.identifier.other | http://dissertations.umi.com/ku:16636 | |
dc.identifier.uri | http://hdl.handle.net/1808/29632 | |
dc.description.abstract | We 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.extent | 121 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | Copyright held by the author. | |
dc.subject | Computer science | |
dc.title | Probabilistic graphical techniques for automated ice-bottom tracking and comparison between state-of-the-art solutions | |
dc.type | Thesis | |
dc.contributor.cmtemember | Wang, Guanghui | |
dc.thesis.degreeDiscipline | Electrical Engineering & Computer Science | |
dc.thesis.degreeLevel | M.S. | |
dc.identifier.orcid | https://orcid.org/0000-0003-1233-430X | |
dc.rights.accessrights | openAccess | |