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Triangulated irregular network optimization from contour data using bridge and tunnel edge removal
This paper proposes an optimization methodology associated with the conversion process from a contour-based elevation model to a TIN model and two algorithms that are combined to reach an optimized result. The first algorithm uses a constrained Delaunay triangulation, in which each contour is used a...
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Published in: | International journal of geographical information science : IJGIS 2001-04, Vol.15 (3), p.271-286 |
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Language: | English |
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cites | cdi_FETCH-LOGICAL-c344t-b5f2d45596b4013d2e7de31746153b1e90918a81a50a4fdd661a5cdd9c9e9c943 |
container_end_page | 286 |
container_issue | 3 |
container_start_page | 271 |
container_title | International journal of geographical information science : IJGIS |
container_volume | 15 |
creator | Zhu, Honglei Eastman, J. Ronald Toledano, James |
description | This paper proposes an optimization methodology associated with the conversion process from a contour-based elevation model to a TIN model and two algorithms that are combined to reach an optimized result. The first algorithm uses a constrained Delaunay triangulation, in which each contour is used as a non-crossing break line. The second algorithm is designed to eliminate edges known as bridge and tunnel edges by inserting a point using parabolic interpolation at the middle of such features. |
doi_str_mv | 10.1080/13658810151072912 |
format | article |
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source | Taylor and Francis Science and Technology Collection |
title | Triangulated irregular network optimization from contour data using bridge and tunnel edge removal |
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