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Finding topographically-similar regions in a triangulated terrain model

University of British Columbia

Two shortcomings of systems developed to automatically extract the topographic features of terrain are that feature definitions are often based on a single attribute, such as Gaussian curvature or slope, and that interactive queries regarding the similarity of one region to another are rarely supported. We report on a prototype system for triangulated terrain models that attempts to address these two issues. It supports interactive classification of the terrain via a user-controlled classification system. Each classification category is defined in terms of ranges of five key terrain attributes: local relief, slope aspect, slope gradient, plan curvature and profile curvature. The system also supports queries of the type: "Which regions are topographically-similar to the selected region?" We use optimal-monomorphism in attributed graphs so that "topographically-similar" goes beyond simply matching terrain attributes to include the attributes and spatial relations of adjacent regions.

Thesis/Dissertation

application/pdf

2009-03-12

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http://hdl.handle.net/2429/5945

Computer Science

University of British Columbia

UBCV

DSpace