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Proceedings Paper

Research on fine resolution representation of digital terrain information
Author(s): Weidong Zhao; Guoan Tang
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Paper Abstract

A new classification scheme of elevation points is put forth on the basis of the study about different kinds of elevation sampling points and feature lines used to build Digital Elevation Model (DEM). All the elevation points are divided into two classes, namely Control Elevation Point (CEP) and General Elevation Point (GEP). GEP is subdivided into two subclasses, namely, Key Elevation Point (KEP) and Dense Elevation Point (DEP). In order to depict micro-terrain with fine resolution and high efficiency, especially the micro-terrain in plain, six kinds of elevation points are used to construct Delaunay Triangulated Irregular Network (D-TIN) successfully in case study. It shows that these elevation points can be used to represent the complex micro-terrain like isolated hills with fine resolution and high efficiency by use of traditional D-TIN constructing algorithm and 3D terrain visual algorithm if they are sampled along their corresponding feature lines and Dense Elevation Points (DEPs) are far enough from any feature lines. The representing resolution changes along with the number of DEPs. The case study also shows that a new elevation points sampling strategy is required to ensure the correction of D-TIN and a new visual algorithm to visualize the cliff surface more smoothly.

Paper Details

Date Published: 1 August 2007
PDF: 9 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510L (1 August 2007); doi: 10.1117/12.759524
Show Author Affiliations
Weidong Zhao, Nanjing Normal Univ. (China)
Hefei Univ. of Technology (China)
Guoan Tang, Nanjing Normal Univ. (China)

Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)

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