Date of Graduation

12-2011

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computer Science (PhD)

Degree Level

Graduate

Department

Computer Science & Computer Engineering

Advisor

Amy W. Apon

Committee Member

John Gauch

Second Committee Member

Miaoqing Huang

Third Committee Member

Jackson Cothren

Keywords

Applied sciences; Geomatics; Geospatial analysis; Parallel architectures; Sift; Viewshed

Abstract

Geographic information systems (GIS) are performing increasingly sophisticated analyses on growing data sets. These analyses demand high performance. At the same time, modern computing platforms increasingly derive their performance from several forms of parallelism. This dissertation explores the available parallelism in several GIS-applied algorithms: viewshed calculation, image feature transform, and feature analysis. It presents implementations of these algorithms that exploit parallel processing to reduce execution time, and analyzes the effectiveness of the implementations in their use of parallel processing.

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