Research on fine resolution representation of digital terrain information

Weidong Zhao; Guoan Tang

doi:10.1117/12.759524

1 August 2007 Research on fine resolution representation of digital terrain information

Weidong Zhao, Guoan Tang

Proceedings Volume 6751, Geoinformatics 2007: Cartographic Theory and Models; 67510L (2007) https://doi.org/10.1117/12.759524
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Weidong Zhao and Guoan Tang "Research on fine resolution representation of digital terrain information", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510L (1 August 2007); https://doi.org/10.1117/12.759524

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