Date of Award

5-2013

Degree Type

Masters Thesis

Degree Name

Master of Science (MS)

Department

Computing

Committee Chair

A. 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.

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