Date of Award
Spring 5-2013
Degree Type
Masters Thesis
Degree Name
Master of Science (MS)
Department
Computing
Committee Chair
Louise Perkins
Committee Chair Department
Computing
Committee Chair School
Computing Sciences and Computer Engineering
Committee Member 2
Paul Elmore
Abstract
Hydrographic offices hold large volumes of historical bathymetric data. Many of these valuable datasets were collected using older generation survey systems and contain little or no metadata. Current efforts to utilize these data require human intervention to remove outliers and assess quality. This thesis develops automated algorithms based on a priori knowledge of existing bathymetric topography to remove errant soundings and concurrently provide an estimate of uncertainty.
Copyright
2013, Rodney Wade Ladner
Recommended Citation
Ladner, Rodney Wade, "Automated Filtering and Attribution of Archive Bathymetry Based on A Priori Knowledge" (2013). Master's Theses. 381.
https://aquila.usm.edu/masters_theses/381